D6 sparql+axioms, run 1: the query session
36 queries1 failed7 rounds
The opening prompt
## The data
You can't see the data, but you can query it. It is in an RDF store, described below. Write SPARQL 1.1 SELECT or ASK queries.
To run queries, reply with one or more fenced blocks (```sparql), and nothing else is needed:
each is run and its results sent back to you. You have up to 8 rounds of queries.
When you have what you need, reply with the final answers and no queries.
Prefixes:
```
PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX res: <https://example.org/research/>
```
Classes and the properties their resources use:
- `res:Author`: `rdf:type`, `rdfs:label`, `res:name`, `res:orcid`, `res:samePersonAs`
- `res:Authorship`: `rdf:type`, `rdfs:label`, `res:affiliationSeq`, `res:author`, `res:authorPosition`, `res:institution`, `res:work`
- `res:Citation`: `rdf:type`, `rdfs:label`, `res:citedWork`, `res:citingWork`
- `res:CreditedAuthorship`: `rdf:type`, `rdfs:label`, `res:affiliationSeq`, `res:author`, `res:authorPosition`, `res:institution`, `res:work`
- `res:Institution`: `rdf:type`, `rdfs:label`, `res:country`, `res:countsTowards`, `res:institutionType`, `res:name`, `res:parent`, `res:ror`, `res:ultimateParent`, `res:unitOf`
- `res:ResearchWork`: `rdf:type`, `rdfs:label`, `res:cites`, `res:countsAs`, `res:creditedCountry`, `res:creditedInstitution`, `res:doi`, `res:hasPerson`, `res:recordSource`, `res:retracted`, `res:source`, `res:title`, `res:workType`, `res:year`
- `res:Source`: `rdf:type`, `rdfs:label`, `res:issn`, `res:name`, `res:sourceType`, `res:tier`
- `res:Work`: `rdf:type`, `rdfs:label`, `res:cites`, `res:countsAs`, `res:creditedCountry`, `res:creditedInstitution`, `res:doi`, `res:hasPerson`, `res:recordSource`, `res:retracted`, `res:source`, `res:title`, `res:versionOf`, `res:workType`, `res:year`
The store holds the data after the rules of its axioms have run, with no definitions alongside. Besides the data's own properties, it holds what the rules derived: res:samePersonAs links the author records of one person; res:countsAs gives the work a record counts as (a preprint's published version, or itself), and the class res:ResearchWork holds the works that count as research output; res:hasPerson gives each work's distinct people, one author record each; res:creditedInstitution and res:creditedCountry give the institutions and countries credited on a work, every level up; res:unitOf, res:countsTowards and res:ultimateParent give the hierarchy; res:cites links the works of the citations that count; res:tierRank ranks the journal tiers, 1 the highest.
## Questions
Answer each question below from the data above. Start each answer on a new line with its
number in bold, like **Q1.**, give the direct answer first, then at most two sentences of
reasoning that cite the records (IDs) you relied on.
Then end with one JSON block (```json) holding the structured answer to each question listed
here, with exactly these fields, shaped like {"Q1": {"field": value}, ...}. Name works, authors, institutions and sources by their record ID: the work_id, author_id, institution_id or source_id in the CSV files, or the part of the IRI after res: in the RDF (W01, A07, I02, S03; not their titles or names).
- Q1: count (a number)
- Q2: works (a list of record IDs)
- Q3: same ("yes", "no" or "depends")
- Q4: count (a number)
- Q5: same ("yes", "no" or "depends")
- Q6: author (a record ID)
- Q7: count (a number)
- Q8: parent (a record ID)
- Q9: count (a number)
- Q10: count (a number)
- Q11: count (a number)
- Q12: full (a number), fractional (a number)
- Q13: full (a record ID), fractional (a record ID)
- Q14: full (a number), fractional (a number)
- Q15: count (a number)
- Q16: count (a number)
- Q17: works (a list of record IDs)
- Q18: count (a number)
- Q19: count (a number)
- Q20: works (a list of record IDs)
- Q21: count (a number)
- Q22: more_in_total (a record ID), more_in_window (a record ID)
- Q23: total (a number), in_window (a number)
- Q24: count (a number)
- Q25: count (a number)
- Q26: counts ("yes", "no" or "depends")
- Q27: institution (a record ID), citing_works (a number)
- Q28: count (a number)
- Q29: author (a number), institution (a number), country (a number)
- Q30: count (a number)
- Q31: works (a list of record IDs)
- Q32: count (a number)
- Q33: work (a record ID)
- Q34: count (a number)
- Q35: count (a number)
- Q36: count (a number)
- Q37: institution (a record ID)
- Q38: institutions (a list of record IDs)
- Q39: count (a number)
- Q40: source (a record ID)
- Q41: higher ("yes", "no" or "depends")
- Q42: count (a number)
- Q43: research ("yes", "no" or "depends")
- Q44: institutions (a list of record IDs)
- Q45: count (a number)
- Q46: parent (a record ID)
Q1. How many distinct people do the author records named "Mara Ellison", "M. Ellison" and "Ellison, Mara J." stand for?
Q2. List every work, of any type, that Mara Ellison (A01) is an author of.
Q3. Is the Jonas Brandt who wrote W37 the same person as the Jonas Brandt who wrote W38?
Q4. How many research works has the Jonas Brandt of Albury Metropolitan University (A05) authored?
Q5. Is the M. Ellison who wrote W08 the same person as the Mara Ellison who wrote W01?
Q6. Which author has the most research works credited to the University of Albury, its units included?
Q7. How many research works has Mara Ellison authored?
Q8. What is the ultimate parent of the Tessel Laboratory for Ocean Sensing (I04)?
Q9. How many research works is the University of Albury (I02) credited with, its units included?
Q10. How many research works is the Albury University System (I01) credited with, all its units included?
Q11. How many research works is Kesting University (I07) credited with, its units included?
Q12. How many research works did Kesting University (I07, units included) publish in 2024, under full counting and under fractional counting (each work split equally among its authors)?
Q13. In 2024, which had more research works, Kesting University (I07) or Rostval Technical University (I09): under full counting, and under fractional counting?
Q14. How many research works did GB institutions publish in 2024, under full counting and under fractional counting (each work split equally among its authors, each author's share going to their institution's country)?
Q15. How many research works appeared in Ocean Sensing Letters (S02) in 2024?
Q16. How many research works appeared in the Journal of Marine Autonomy (S01)?
Q17. Which of Mara Ellison's works are not research output because of their document type?
Q18. How many distinct research works has Priya Ramanathan (A07) authored?
Q19. How many distinct works cite "Drift-aware mapping with low-cost sonar", in either of its versions?
Q20. Which works in the data are preprints of another work that is also in the data?
Q21. How many research works is Oskel Polytechnic (I14) credited with?
Q22. Which has more citations, W30 or W31 (counting both versions of each): in total, and within its publication year and the two years after?
Q23. How many citations has W30 received in total, and how many within its publication year and the two years after?
Q24. How many research works has Lena Vossberg (A09) authored?
Q25. What is the total of the citation counts of Lena Vossberg's research works?
Q26. Does W23 count towards Kesting University's research output?
Q27. Which other institution's works cite Kesting University's research works the most, each citing work counted once per institution, and how many of its works do?
Q28. How many distinct works from Rostval Technical University (I09) cite Kesting University's research works?
Q29. Of the works citing "Drift-aware mapping with low-cost sonar" (either version), how many are self-citations at the level of authors, of the University of Albury (units included), and of countries?
Q30. Of the works citing "Drift-aware mapping with low-cost sonar" (either version), how many are self-citations at the level of the Albury University System?
Q31. Which works cite at least one of the works that cite W01?
Q32. How many distinct works are within two citation hops of W01 (citing it, or citing a work that cites it)?
Q33. Which of Kesting University's research works has the most citations?
Q34. How many research works was Kesting University (units included) credited with in 2025?
Q35. How many research works is the Kesting Institute of Hydrodynamics (I08) credited with?
Q36. How many research works appeared in the Proceedings of the Hydrodynamics Forum (S06)?
Q37. Which institution is W70 credited to?
Q38. Which institutions is W71 credited to, at every level?
Q39. How many of the University of Albury's research works (units included) appeared in a source of the highest tier?
Q40. Which source is in the highest tier?
Q41. Is Coastal Engineering Review (S03) in a higher tier than Ocean Sensing Letters (S02)?
Q42. How many research works appeared in Global Marine Science Reports (S04)?
Q43. Is W07 research output?
Q44. Which institutions are part of the Albury University System, at any level below it?
Q45. How many research works is the Halloran Institute for Coastal Studies (I06) credited with?
Q46. What is the ultimate parent of the Halloran Institute for Coastal Studies (I06)?
Q47. Why do Kesting University and Rostval Technical University swap places in 2024 between full and fractional counting?
Q48. Why is W70 not one of the University of Albury's research works, though its author lists the Tessel Laboratory?The model
I'll start by exploring the data.
```sparql
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(?s IN (res:A01,res:A05,res:I01,res:I02,res:I04,res:I06,res:I07,res:I08,res:I09,res:I14)) }
```
```sparql
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(?s IN (res:W01,res:W07,res:W08,res:W23,res:W30,res:W31,res:W37,res:W38,res:W70,res:W71)) }
```
```sparql
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(?s IN (res:S01,res:S02,res:S03,res:S04,res:S06)) }
```Query results
Query 1:
| s | p | o |
|---|---|---|
| res:I09 | rdf:type | res:Institution |
| res:I06 | res:institutionType | res:itype-AFF |
| res:A01 | res:samePersonAs | res:A101 |
| res:A05 | res:samePersonAs | res:A104 |
| res:I04 | res:parent | res:I03 |
| res:I06 | res:countsTowards | res:I06 |
| res:A05 | res:orcid | 0000-0001-6105-5008 |
| res:I02 | res:unitOf | res:I01 |
| res:I04 | res:countsTowards | res:I03 |
| res:I04 | res:countsTowards | res:I04 |
| res:I01 | res:ror | 0hygr4985 |
| res:I09 | res:ror | 0k8rh7879 |
| res:I08 | rdf:type | res:Institution |
| res:I14 | res:ror | 06t6n5818 |
| res:I08 | rdfs:label | Kesting Institute of Hydrodynamics |
| res:I04 | res:institutionType | res:itype-LAB |
| res:I14 | rdfs:label | Oskel Polytechnic |
| res:I02 | res:countsTowards | res:I02 |
| res:I08 | res:unitOf | res:I07 |
| res:I02 | res:ultimateParent | res:I01 |
| res:I07 | res:ultimateParent | res:I07 |
| res:I04 | res:countsTowards | res:I01 |
| res:I02 | res:name | University of Albury |
| res:I01 | rdfs:label | Albury University System |
| res:I06 | rdfs:label | Halloran Institute for Coastal Studies |
| res:I07 | rdf:type | res:Institution |
| res:I14 | res:country | NL |
| res:I09 | res:countsTowards | res:I09 |
| res:I09 | res:name | Rostval Technical University |
| res:I02 | rdf:type | res:Institution |
| res:A05 | rdf:type | res:Author |
| res:I08 | res:ultimateParent | res:I07 |
| res:I14 | res:institutionType | res:itype-UNI |
| res:A01 | res:samePersonAs | res:A02 |
| res:I06 | res:parent | res:I02 |
| res:I01 | res:countsTowards | res:I01 |
| res:A05 | rdfs:label | Jonas Brandt |
| res:I07 | res:name | Kesting University |
| res:A01 | res:samePersonAs | res:A03 |
| res:A01 | rdf:type | res:Author |
| res:I02 | res:country | GB |
| res:A01 | rdfs:label | Mara Ellison |
| res:I04 | res:ror | 0002ezf81 |
| res:I14 | res:countsTowards | res:I14 |
| res:I02 | rdfs:label | University of Albury |
| res:A01 | res:orcid | 0000-0002-9841-6229 |
| res:I06 | rdf:type | res:Institution |
| res:I04 | res:unitOf | res:I03 |
| res:I09 | rdfs:label | Rostval Technical University |
| res:I08 | res:institutionType | res:itype-LAB |
| res:I07 | res:ror | 0593t4875 |
| res:I02 | res:parent | res:I01 |
| res:I01 | res:institutionType | res:itype-SYS |
| res:I02 | res:ror | 06safhw22 |
| res:I09 | res:country | NL |
| res:I08 | res:countsTowards | res:I08 |
| res:I06 | res:ultimateParent | res:I06 |
| res:I04 | res:ultimateParent | res:I01 |
| res:I04 | res:name | Tessel Laboratory for Ocean Sensing |
| res:I09 | res:ultimateParent | res:I09 |
(28 more rows not shown)
Query 2:
| s | p | o |
|---|---|---|
| res:W37 | res:creditedInstitution | res:I01 |
| res:W38 | res:year | 2023 |
| res:W31 | res:creditedInstitution | res:I14 |
| res:W07 | res:doi | 10.55555/s04.2020.7029 |
| res:W01 | rdfs:label | Adaptive path planning for underwater gliders |
| res:W01 | res:retracted | false |
| res:W01 | res:workType | res:wtype-ART |
| res:W01 | rdf:type | res:Work |
| res:W08 | res:retracted | false |
| res:W31 | res:retracted | false |
| res:W08 | rdf:type | res:Work |
| res:W31 | rdf:type | res:Work |
| res:W71 | res:source | res:S01 |
| res:W38 | rdf:type | res:ResearchWork |
| res:W23 | res:retracted | true |
| res:W01 | res:hasPerson | res:A01 |
| res:W38 | res:creditedInstitution | res:I12 |
| res:W38 | res:recordSource | res:origin-FEED |
| res:W70 | res:countsAs | res:W70 |
| res:W37 | res:workType | res:wtype-ART |
| res:W37 | rdf:type | res:Work |
| res:W70 | res:source | res:S02 |
| res:W07 | res:source | res:S04 |
| res:W30 | res:recordSource | res:origin-FEED |
| res:W70 | res:year | 2023 |
| res:W71 | res:creditedInstitution | res:I02 |
| res:W37 | res:hasPerson | res:A05 |
| res:W01 | res:source | res:S01 |
| res:W30 | res:creditedInstitution | res:I13 |
| res:W07 | res:workType | res:wtype-ART |
| res:W08 | res:creditedInstitution | res:I07 |
| res:W31 | res:source | res:S01 |
| res:W08 | res:creditedCountry | DE |
| res:W70 | rdfs:label | Optical backscatter in turbid estuaries |
| res:W71 | res:countsAs | res:W71 |
| res:W23 | res:creditedInstitution | res:I07 |
| res:W31 | res:creditedCountry | NL |
| res:W70 | res:recordSource | res:origin-FEED |
| res:W07 | res:year | 2020 |
| res:W01 | res:creditedInstitution | res:I02 |
| res:W37 | res:source | res:S03 |
| res:W38 | res:hasPerson | res:A06 |
| res:W08 | rdfs:label | Turbulent wake modelling behind tidal turbines |
| res:W70 | res:title | Optical backscatter in turbid estuaries |
| res:W01 | res:title | Adaptive path planning for underwater gliders |
| res:W30 | rdf:type | res:ResearchWork |
| res:W37 | res:retracted | false |
| res:W08 | res:title | Turbulent wake modelling behind tidal turbines |
| res:W38 | rdf:type | res:Work |
| res:W71 | res:hasPerson | res:A08 |
| res:W08 | res:source | res:S01 |
| res:W70 | res:creditedCountry | GB |
| res:W08 | res:recordSource | res:origin-FEED |
| res:W30 | res:title | Tidal stream resource maps for the Dunmore coast |
| res:W30 | res:workType | res:wtype-ART |
| res:W30 | rdf:type | res:Work |
| res:W23 | res:creditedCountry | DE |
| res:W07 | rdfs:label | Low-cost sonar arrays for coastal monitoring |
| res:W70 | rdf:type | res:ResearchWork |
| res:W07 | res:creditedInstitution | res:I01 |
(86 more rows not shown)
Query 3:
| s | p | o |
|---|---|---|
| res:S06 | res:sourceType | res:stype-JOU |
| res:S01 | res:name | Journal of Marine Autonomy |
| res:S03 | rdf:type | res:Source |
| res:S01 | rdf:type | res:Source |
| res:S03 | res:name | Coastal Engineering Review |
| res:S02 | rdfs:label | Ocean Sensing Letters |
| res:S02 | res:tier | res:tier-K2 |
| res:S06 | res:name | Proceedings of the Hydrodynamics Forum |
| res:S01 | res:tier | res:tier-K3 |
| res:S03 | res:sourceType | res:stype-JOU |
| res:S01 | res:sourceType | res:stype-JOU |
| res:S04 | rdfs:label | Global Marine Science Reports |
| res:S06 | res:issn | 9804-2748 |
| res:S02 | rdf:type | res:Source |
| res:S01 | res:issn | 9866-3925 |
| res:S02 | res:name | Ocean Sensing Letters |
| res:S02 | res:sourceType | res:stype-JOU |
| res:S03 | res:issn | 1154-9679 |
| res:S04 | rdf:type | res:Source |
| res:S06 | res:tier | res:tier-K2 |
| res:S01 | rdfs:label | Journal of Marine Autonomy |
| res:S04 | res:tier | res:tier-K0 |
| res:S06 | rdf:type | res:Source |
| res:S06 | rdfs:label | Proceedings of the Hydrodynamics Forum |
| res:S04 | res:issn | 8864-5325 |
| res:S03 | rdfs:label | Coastal Engineering Review |
| res:S02 | res:issn | 3195-4973 |
| res:S04 | res:sourceType | res:stype-JOU |
| res:S04 | res:name | Global Marine Science Reports |
| res:S03 | res:tier | res:tier-K1 |
Run more queries, or give the final answers.The model
<parameter name="sparql">SELECT ?w ?y ?src ?wt ?ca ?ret ?rs ?vo (GROUP_CONCAT(DISTINCT ?t;separator="|") AS ?types) WHERE { ?w a res:Work . OPTIONAL{?w res:year ?y} OPTIONAL{?w res:source ?src} OPTIONAL{?w res:workType ?wt} OPTIONAL{?w res:countsAs ?ca} OPTIONAL{?w res:retracted ?ret} OPTIONAL{?w res:recordSource ?rs} OPTIONAL{?w res:versionOf ?vo} OPTIONAL{?w a ?t} } GROUP BY ?w ?y ?src ?wt ?ca ?ret ?rs ?vo ORDER BY ?w</parameter>
```
```
```sparql
SELECT ?w ?p ?o WHERE { ?w a res:Work . ?w ?p ?o . FILTER(?p IN (res:hasPerson,res:creditedInstitution,res:creditedCountry)) } ORDER BY ?w ?p ?o
```
```sparql
SELECT ?c ?a ?b WHERE { ?c a res:Citation ; res:citingWork ?a ; res:citedWork ?b } ORDER BY ?a ?b
```
```sparql
SELECT ?x ?p ?o WHERE { ?x ?p ?o . FILTER(?p IN (res:samePersonAs,res:parent,res:unitOf,res:orcid,res:name,res:country,res:institutionType,res:tierRank)) FILTER(?x != res:A01) } ORDER BY ?x ?p
```
```sparql
SELECT ?a ?w ?au ?pos ?inst ?aff ?type WHERE { ?a a ?type ; res:work ?w ; res:author ?au . OPTIONAL{?a res:institution ?inst} OPTIONAL{?a res:authorPosition ?pos} OPTIONAL{?a res:affiliationSeq ?aff} FILTER(?type IN (res:Authorship,res:CreditedAuthorship)) } ORDER BY ?w ?au
```Query results
Query 1:
| w | p | o |
|---|---|---|
| res:W01 | res:creditedCountry | GB |
| res:W01 | res:creditedInstitution | res:I01 |
| res:W01 | res:creditedInstitution | res:I02 |
| res:W01 | res:creditedInstitution | res:I03 |
| res:W01 | res:hasPerson | res:A01 |
| res:W01 | res:hasPerson | res:A07 |
| res:W02 | res:creditedCountry | GB |
| res:W02 | res:creditedInstitution | res:I01 |
| res:W02 | res:creditedInstitution | res:I02 |
| res:W02 | res:creditedInstitution | res:I03 |
| res:W03 | res:creditedCountry | GB |
| res:W03 | res:creditedInstitution | res:I01 |
| res:W03 | res:creditedInstitution | res:I02 |
| res:W03 | res:creditedInstitution | res:I03 |
| res:W03 | res:hasPerson | res:A01 |
| res:W03 | res:hasPerson | res:A07 |
| res:W04 | res:creditedCountry | GB |
| res:W04 | res:creditedInstitution | res:I01 |
| res:W04 | res:creditedInstitution | res:I02 |
| res:W04 | res:hasPerson | res:A01 |
| res:W05 | res:creditedCountry | GB |
| res:W05 | res:creditedInstitution | res:I01 |
| res:W05 | res:creditedInstitution | res:I02 |
| res:W05 | res:creditedInstitution | res:I03 |
| res:W05 | res:hasPerson | res:A01 |
| res:W05 | res:hasPerson | res:A07 |
| res:W06 | res:creditedCountry | GB |
| res:W06 | res:creditedInstitution | res:I01 |
| res:W06 | res:creditedInstitution | res:I02 |
| res:W06 | res:creditedInstitution | res:I13 |
| res:W06 | res:hasPerson | res:A01 |
| res:W06 | res:hasPerson | res:A15 |
| res:W07 | res:creditedCountry | GB |
| res:W07 | res:creditedInstitution | res:I01 |
| res:W07 | res:creditedInstitution | res:I02 |
| res:W07 | res:hasPerson | res:A01 |
| res:W08 | res:creditedCountry | DE |
| res:W08 | res:creditedInstitution | res:I07 |
| res:W08 | res:hasPerson | res:A04 |
| res:W1000 | res:creditedCountry | FR |
| res:W1000 | res:creditedInstitution | res:I12 |
| res:W1000 | res:hasPerson | res:A157 |
| res:W1001 | res:creditedCountry | ES |
| res:W1001 | res:creditedCountry | PL |
| res:W1001 | res:creditedInstitution | res:I18 |
| res:W1001 | res:creditedInstitution | res:I26 |
| res:W1001 | res:hasPerson | res:A202 |
| res:W1001 | res:hasPerson | res:A33 |
| res:W1002 | res:creditedCountry | FR |
| res:W1002 | res:creditedInstitution | res:I11 |
| res:W1002 | res:creditedInstitution | res:I12 |
| res:W1002 | res:hasPerson | res:A156 |
| res:W1002 | res:hasPerson | res:A162 |
| res:W1003 | res:creditedCountry | GB |
| res:W1003 | res:creditedInstitution | res:I01 |
| res:W1003 | res:creditedInstitution | res:I02 |
| res:W1003 | res:hasPerson | res:A110 |
| res:W1003 | res:hasPerson | res:A113 |
| res:W1004 | res:creditedCountry | FR |
| res:W1004 | res:creditedInstitution | res:I11 |
(4118 more rows not shown)
Query 2:
| c | a | b |
|---|---|---|
| res:C-W1000-W317 | res:W1000 | res:W317 |
| res:C-W1000-W978 | res:W1000 | res:W978 |
| res:C-W1001-W797 | res:W1001 | res:W797 |
| res:C-W1002-W218 | res:W1002 | res:W218 |
| res:C-W1002-W461 | res:W1002 | res:W461 |
| res:C-W1002-W742 | res:W1002 | res:W742 |
| res:C-W1005-W233 | res:W1005 | res:W233 |
| res:C-W1005-W251 | res:W1005 | res:W251 |
| res:C-W1005-W706 | res:W1005 | res:W706 |
| res:C-W1006-W1047 | res:W1006 | res:W1047 |
| res:C-W1007-W458 | res:W1007 | res:W458 |
| res:C-W1007-W735 | res:W1007 | res:W735 |
| res:C-W1007-W772 | res:W1007 | res:W772 |
| res:C-W1009-W988 | res:W1009 | res:W988 |
| res:C-W1011-W453 | res:W1011 | res:W453 |
| res:C-W1011-W623 | res:W1011 | res:W623 |
| res:C-W1011-W910 | res:W1011 | res:W910 |
| res:C-W1012-W876 | res:W1012 | res:W876 |
| res:C-W1014-W731 | res:W1014 | res:W731 |
| res:C-W1016-W1046 | res:W1016 | res:W1046 |
| res:C-W1016-W242 | res:W1016 | res:W242 |
| res:C-W1016-W793 | res:W1016 | res:W793 |
| res:C-W1017-W246 | res:W1017 | res:W246 |
| res:C-W1018-W343 | res:W1018 | res:W343 |
| res:C-W1020-W556 | res:W1020 | res:W556 |
| res:C-W1022-W309 | res:W1022 | res:W309 |
| res:C-W1022-W876 | res:W1022 | res:W876 |
| res:C-W1024-W401 | res:W1024 | res:W401 |
| res:C-W1024-W692 | res:W1024 | res:W692 |
| res:C-W1024-W769 | res:W1024 | res:W769 |
| res:C-W1025-W275 | res:W1025 | res:W275 |
| res:C-W1025-W331 | res:W1025 | res:W331 |
| res:C-W1025-W572 | res:W1025 | res:W572 |
| res:C-W1026-W626 | res:W1026 | res:W626 |
| res:C-W1027-W210 | res:W1027 | res:W210 |
| res:C-W1027-W349 | res:W1027 | res:W349 |
| res:C-W1027-W728 | res:W1027 | res:W728 |
| res:C-W1029-W649 | res:W1029 | res:W649 |
| res:C-W103-W101 | res:W103 | res:W101 |
| res:C-W103-W60 | res:W103 | res:W60 |
| res:C-W1031-W521 | res:W1031 | res:W521 |
| res:C-W1031-W699 | res:W1031 | res:W699 |
| res:C-W1031-W702 | res:W1031 | res:W702 |
| res:C-W1032-W713 | res:W1032 | res:W713 |
| res:C-W1033-W30 | res:W1033 | res:W30 |
| res:C-W1033-W977 | res:W1033 | res:W977 |
| res:C-W1034-W1001 | res:W1034 | res:W1001 |
| res:C-W1034-W383 | res:W1034 | res:W383 |
| res:C-W1034-W631 | res:W1034 | res:W631 |
| res:C-W1037-W312 | res:W1037 | res:W312 |
| res:C-W1038-W572 | res:W1038 | res:W572 |
| res:C-W1039-W31 | res:W1039 | res:W31 |
| res:C-W1039-W42 | res:W1039 | res:W42 |
| res:C-W104-W101 | res:W104 | res:W101 |
| res:C-W1040-W896 | res:W1040 | res:W896 |
| res:C-W1042-W455 | res:W1042 | res:W455 |
| res:C-W1042-W602 | res:W1042 | res:W602 |
| res:C-W1043-W276 | res:W1043 | res:W276 |
| res:C-W1043-W506 | res:W1043 | res:W506 |
| res:C-W1043-W784 | res:W1043 | res:W784 |
(1007 more rows not shown)
Query 3:
| x | p | o |
|---|---|---|
| res:A02 | res:name | M. Ellison |
| res:A02 | res:orcid | 0000-0002-9841-6229 |
| res:A02 | res:samePersonAs | res:A03 |
| res:A02 | res:samePersonAs | res:A101 |
| res:A02 | res:samePersonAs | res:A01 |
| res:A03 | res:name | Ellison, Mara J. |
| res:A03 | res:orcid | 0000-0002-9841-6229 |
| res:A03 | res:samePersonAs | res:A02 |
| res:A03 | res:samePersonAs | res:A101 |
| res:A03 | res:samePersonAs | res:A01 |
| res:A04 | res:name | M. Ellison |
| res:A04 | res:orcid | 0000-0004-8662-8360 |
| res:A05 | res:name | Jonas Brandt |
| res:A05 | res:orcid | 0000-0001-6105-5008 |
| res:A05 | res:samePersonAs | res:A104 |
| res:A06 | res:name | Jonas Brandt |
| res:A06 | res:orcid | 0000-0007-5475-1779 |
| res:A07 | res:name | Priya Ramanathan |
| res:A07 | res:orcid | 0000-0009-2298-3695 |
| res:A08 | res:name | Tomasz Wierzba |
| res:A08 | res:orcid | 0000-0007-9318-6032 |
| res:A08 | res:samePersonAs | res:A106 |
| res:A09 | res:name | Lena Vossberg |
| res:A09 | res:orcid | 0000-0000-8073-7028 |
| res:A09 | res:samePersonAs | res:A103 |
| res:A10 | res:name | Dirk Hallmann |
| res:A10 | res:orcid | 0000-0003-8222-6468 |
| res:A101 | res:name | M. Ellison |
| res:A101 | res:orcid | 0000-0002-9841-6229 |
| res:A101 | res:samePersonAs | res:A02 |
| res:A101 | res:samePersonAs | res:A01 |
| res:A101 | res:samePersonAs | res:A03 |
| res:A102 | res:name | M. Ellison |
| res:A102 | res:orcid | 0000-0008-4738-8328 |
| res:A103 | res:name | L. Vossberg |
| res:A103 | res:orcid | 0000-0000-8073-7028 |
| res:A103 | res:samePersonAs | res:A09 |
| res:A104 | res:name | J. Brandt |
| res:A104 | res:orcid | 0000-0001-6105-5008 |
| res:A104 | res:samePersonAs | res:A05 |
| res:A105 | res:name | Jonas Brandt |
| res:A105 | res:orcid | 0000-0004-9046-7961 |
| res:A106 | res:name | T. Wierzba |
| res:A106 | res:orcid | 0000-0007-9318-6032 |
| res:A106 | res:samePersonAs | res:A08 |
| res:A107 | res:name | S. de Raat |
| res:A107 | res:orcid | 0000-0006-1642-5247 |
| res:A107 | res:samePersonAs | res:A11 |
| res:A108 | res:name | Priya Ramanathan |
| res:A108 | res:orcid | 0000-0007-1802-8393 |
| res:A109 | res:name | Greta Yelland |
| res:A109 | res:orcid | 0000-0002-6545-4969 |
| res:A11 | res:name | Sofie de Raat |
| res:A11 | res:orcid | 0000-0006-1642-5247 |
| res:A11 | res:samePersonAs | res:A107 |
| res:A110 | res:name | Quinn Yelland |
| res:A110 | res:orcid | 0000-0003-7597-9990 |
| res:A111 | res:name | Hester Falconer |
| res:A111 | res:orcid | 0000-0007-5409-8704 |
| res:A112 | res:name | Katrin Elphick |
(407 more rows not shown)
Query 4:
| a | w | au | pos | inst | aff | type |
|---|---|---|---|---|---|---|
| res:AS-W01-A01-1 | res:W01 | res:A01 | 1 | res:I02 | 1 | res:Authorship |
| res:AS-W01-A01-1 | res:W01 | res:A01 | 1 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W01-A07-1 | res:W01 | res:A07 | 2 | res:I03 | 1 | res:Authorship |
| res:AS-W01-A07-1 | res:W01 | res:A07 | 2 | res:I03 | 1 | res:CreditedAuthorship |
| res:AS-W02-A02-1 | res:W02 | res:A02 | 1 | res:I02 | 1 | res:Authorship |
| res:AS-W02-A02-1 | res:W02 | res:A02 | 1 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W02-A07-1 | res:W02 | res:A07 | 2 | res:I03 | 1 | res:Authorship |
| res:AS-W02-A07-1 | res:W02 | res:A07 | 2 | res:I03 | 1 | res:CreditedAuthorship |
| res:AS-W03-A03-1 | res:W03 | res:A03 | 1 | res:I02 | 1 | res:Authorship |
| res:AS-W03-A03-1 | res:W03 | res:A03 | 1 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W03-A07-1 | res:W03 | res:A07 | 2 | res:I03 | 1 | res:Authorship |
| res:AS-W03-A07-1 | res:W03 | res:A07 | 2 | res:I03 | 1 | res:CreditedAuthorship |
| res:AS-W04-A01-1 | res:W04 | res:A01 | 1 | res:I02 | 1 | res:Authorship |
| res:AS-W04-A01-1 | res:W04 | res:A01 | 1 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W05-A01-1 | res:W05 | res:A01 | 1 | res:I02 | 1 | res:Authorship |
| res:AS-W05-A01-1 | res:W05 | res:A01 | 1 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W05-A07-1 | res:W05 | res:A07 | 2 | res:I03 | 1 | res:Authorship |
| res:AS-W05-A07-1 | res:W05 | res:A07 | 2 | res:I03 | 1 | res:CreditedAuthorship |
| res:AS-W06-A01-1 | res:W06 | res:A01 | 1 | res:I02 | 1 | res:Authorship |
| res:AS-W06-A01-1 | res:W06 | res:A01 | 1 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W06-A15-1 | res:W06 | res:A15 | 2 | res:I13 | 1 | res:Authorship |
| res:AS-W06-A15-1 | res:W06 | res:A15 | 2 | res:I13 | 1 | res:CreditedAuthorship |
| res:AS-W07-A02-1 | res:W07 | res:A02 | 1 | res:I02 | 1 | res:Authorship |
| res:AS-W07-A02-1 | res:W07 | res:A02 | 1 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W08-A04-1 | res:W08 | res:A04 | 1 | res:I07 | 1 | res:Authorship |
| res:AS-W08-A04-1 | res:W08 | res:A04 | 1 | res:I07 | 1 | res:CreditedAuthorship |
| res:AS-W1000-A157-1 | res:W1000 | res:A157 | 1 | res:I12 | 1 | res:Authorship |
| res:AS-W1000-A157-1 | res:W1000 | res:A157 | 1 | res:I12 | 1 | res:CreditedAuthorship |
| res:AS-W1001-A202-1 | res:W1001 | res:A202 | 1 | res:I26 | 1 | res:Authorship |
| res:AS-W1001-A202-1 | res:W1001 | res:A202 | 1 | res:I26 | 1 | res:CreditedAuthorship |
| res:AS-W1001-A33-1 | res:W1001 | res:A33 | 2 | res:I18 | 1 | res:Authorship |
| res:AS-W1001-A33-1 | res:W1001 | res:A33 | 2 | res:I18 | 1 | res:CreditedAuthorship |
| res:AS-W1002-A156-1 | res:W1002 | res:A156 | 1 | res:I12 | 1 | res:Authorship |
| res:AS-W1002-A156-1 | res:W1002 | res:A156 | 1 | res:I12 | 1 | res:CreditedAuthorship |
| res:AS-W1002-A162-1 | res:W1002 | res:A162 | 2 | res:I11 | 1 | res:Authorship |
| res:AS-W1002-A162-1 | res:W1002 | res:A162 | 2 | res:I11 | 1 | res:CreditedAuthorship |
| res:AS-W1003-A110-1 | res:W1003 | res:A110 | 1 | res:I02 | 1 | res:Authorship |
| res:AS-W1003-A110-1 | res:W1003 | res:A110 | 1 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W1003-A113-1 | res:W1003 | res:A113 | 2 | res:I02 | 1 | res:Authorship |
| res:AS-W1003-A113-1 | res:W1003 | res:A113 | 2 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W1004-A160-1 | res:W1004 | res:A160 | 1 | res:I11 | 1 | res:Authorship |
| res:AS-W1004-A160-1 | res:W1004 | res:A160 | 1 | res:I11 | 1 | res:CreditedAuthorship |
| res:AS-W1005-A01-1 | res:W1005 | res:A01 | 1 | res:I02 | 1 | res:Authorship |
| res:AS-W1005-A01-1 | res:W1005 | res:A01 | 1 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W1005-A111-1 | res:W1005 | res:A111 | 2 | res:I02 | 1 | res:Authorship |
| res:AS-W1005-A111-1 | res:W1005 | res:A111 | 2 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W1005-A198-1 | res:W1005 | res:A198 | 3 | res:I17 | 1 | res:Authorship |
| res:AS-W1005-A198-1 | res:W1005 | res:A198 | 3 | res:I17 | 1 | res:CreditedAuthorship |
| res:AS-W1006-A157-1 | res:W1006 | res:A157 | 1 | res:I12 | 1 | res:Authorship |
| res:AS-W1006-A157-1 | res:W1006 | res:A157 | 1 | res:I12 | 1 | res:CreditedAuthorship |
| res:AS-W1007-A22-1 | res:W1007 | res:A22 | 1 | res:I06 | 1 | res:Authorship |
| res:AS-W1007-A22-1 | res:W1007 | res:A22 | 1 | res:I06 | 1 | res:CreditedAuthorship |
| res:AS-W1008-A160-1 | res:W1008 | res:A160 | 1 | res:I11 | 1 | res:Authorship |
| res:AS-W1008-A160-1 | res:W1008 | res:A160 | 1 | res:I11 | 1 | res:CreditedAuthorship |
| res:AS-W1008-A162-1 | res:W1008 | res:A162 | 2 | res:I11 | 1 | res:Authorship |
| res:AS-W1008-A162-1 | res:W1008 | res:A162 | 2 | res:I11 | 1 | res:CreditedAuthorship |
| res:AS-W1009-A34-1 | res:W1009 | res:A34 | 1 | res:I15 | 1 | res:Authorship |
| res:AS-W1009-A34-1 | res:W1009 | res:A34 | 1 | res:I15 | 1 | res:CreditedAuthorship |
| res:AS-W1009-A44-1 | res:W1009 | res:A44 | 2 | res:I17 | 1 | res:Authorship |
| res:AS-W1009-A44-1 | res:W1009 | res:A44 | 2 | res:I17 | 1 | res:CreditedAuthorship |
(2978 more rows not shown)
Query 5:
| w | y | src | wt | ca | ret | rs | vo | types |
|---|---|---|---|---|---|---|---|---|
| res:W01 | 2021 | res:S01 | res:wtype-ART | res:W01 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W02 | 2022 | res:S05 | res:wtype-PPR | res:W03 | false | res:origin-FEED | res:W03 | https://example.org/research/Work |
| res:W03 | 2023 | res:S02 | res:wtype-ART | res:W03 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W04 | 2023 | res:S01 | res:wtype-EDT | res:W04 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W05 | 2024 | res:S02 | res:wtype-ERR | res:W05 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W06 | 2024 | res:S03 | res:wtype-ART | res:W06 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W07 | 2020 | res:S04 | res:wtype-ART | res:W07 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W08 | 2025 | res:S01 | res:wtype-ART | res:W08 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W09 | 2023 | res:S01 | res:wtype-PTX | res:W09 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W10 | 2024 | res:S02 | res:wtype-PTX | res:W10 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W1000 | 2024 | res:S01 | res:wtype-ART | res:W1000 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1001 | 2024 | res:S09 | res:wtype-ART | res:W1001 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1002 | 2021 | res:S06 | res:wtype-SUP | res:W1002 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1003 | 2024 | res:S06 | res:wtype-ART | res:W1003 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1004 | 2024 | res:S02 | res:wtype-ART | res:W1004 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1005 | 2025 | res:S02 | res:wtype-ART | res:W1005 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1006 | 2020 | res:S13 | res:wtype-REV | res:W1006 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W1007 | 2023 | res:S01 | res:wtype-ART | res:W1007 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1008 | 2025 | res:S11 | res:wtype-ART | res:W1008 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1009 | 2022 | res:S12 | res:wtype-REV | res:W1009 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W101 | 2019 | res:S08 | res:wtype-ART | res:W101 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1010 | 2020 | res:S02 | res:wtype-ART | res:W1010 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1011 | 2021 | res:S04 | res:wtype-REV | res:W1011 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W1012 | 2020 | res:S08 | res:wtype-ART | res:W1012 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1013 | 2025 | res:S04 | res:wtype-ART | res:W1013 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W1014 | 2023 | res:S01 | res:wtype-ART | res:W1014 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1015 | 2023 | res:S12 | res:wtype-ART | res:W1015 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1016 | 2025 | res:S06 | res:wtype-ART | res:W1016 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1017 | 2025 | res:S07 | res:wtype-ART | res:W1017 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1018 | 2025 | res:S08 | res:wtype-ART | res:W1018 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1019 | 2020 | res:S03 | res:wtype-ART | res:W1019 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W102 | 2023 | res:S07 | res:wtype-ART | res:W102 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1020 | 2020 | res:S13 | res:wtype-ART | res:W1020 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W1021 | 2021 | res:S02 | res:wtype-ART | res:W1021 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1022 | 2023 | res:S09 | res:wtype-ART | res:W1022 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1023 | 2024 | res:S09 | res:wtype-ART | res:W1023 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1024 | 2020 | res:S12 | res:wtype-ART | res:W1024 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1025 | 2020 | res:S02 | res:wtype-ART | res:W1025 | true | res:origin-FEED | | https://example.org/research/Work |
| res:W1026 | 2019 | res:S09 | res:wtype-ART | res:W1026 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1027 | 2024 | res:S10 | res:wtype-REV | res:W1027 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1028 | 2019 | res:S03 | res:wtype-ART | res:W1028 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1029 | 2022 | res:S09 | res:wtype-ART | res:W1029 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W103 | 2020 | res:S07 | res:wtype-ART | res:W103 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1030 | 2021 | res:S12 | res:wtype-ART | res:W1030 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1031 | 2025 | res:S01 | res:wtype-ART | res:W1031 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1032 | 2019 | res:S02 | res:wtype-ART | res:W1032 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1033 | 2025 | res:S08 | res:wtype-ART | res:W1033 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1034 | 2025 | res:S06 | res:wtype-EDT | res:W1034 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W1035 | 2021 | res:S03 | res:wtype-ART | res:W1035 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1036 | 2024 | res:S06 | res:wtype-ART | res:W1036 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1037 | 2022 | res:S02 | res:wtype-ART | res:W1037 | true | res:origin-FEED | | https://example.org/research/Work |
| res:W1038 | 2020 | res:S02 | res:wtype-ART | res:W1038 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1039 | 2023 | res:S11 | res:wtype-ART | res:W1039 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W104 | 2019 | res:S07 | res:wtype-ART | res:W104 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1040 | 2024 | res:S08 | res:wtype-ART | res:W1040 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1041 | 2025 | res:S03 | res:wtype-EDT | res:W1041 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W1042 | 2025 | res:S01 | res:wtype-ART | res:W1042 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1043 | 2023 | res:S08 | res:wtype-EDT | res:W1043 | false | res:origin-FEED | | https://example.org/research/Work |
| res:W1044 | 2021 | res:S02 | res:wtype-ART | res:W1044 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
| res:W1046 | 2024 | res:S01 | res:wtype-ART | res:W1046 | false | res:origin-FEED | | https://example.org/research/ResearchWork|https://example.org/research/Work |
(790 more rows not shown)
Run more queries, or give the final answers.The model
```sparql
SELECT ?w ?t ?y ?wt ?ca ?vo ?ret (GROUP_CONCAT(DISTINCT ?au;separator=",") AS ?aus) (EXISTS{?w a res:ResearchWork} AS ?rw) WHERE { ?w res:title ?t . OPTIONAL{?w res:year ?y} OPTIONAL{?w res:workType ?wt} OPTIONAL{?w res:countsAs ?ca} OPTIONAL{?w res:versionOf ?vo} OPTIONAL{?w res:retracted ?ret} ?a res:work ?w ; res:author ?au . FILTER(?au IN (res:A01,res:A02,res:A03,res:A101,res:A05,res:A104,res:A07,res:A108,res:A09,res:A103) || CONTAINS(?t,"Drift-aware") || ?w IN (res:W23,res:W30,res:W31,res:W70,res:W71)) } GROUP BY ?w ?t ?y ?wt ?ca ?vo ?ret ORDER BY ?w
```
```sparql
SELECT ?i ?y (COUNT(DISTINCT ?w) AS ?n) WHERE { ?w a res:ResearchWork ; res:creditedInstitution ?i ; res:year ?y . FILTER(?i IN (res:I01,res:I02,res:I06,res:I07,res:I08,res:I09,res:I14)) } GROUP BY ?i ?y ORDER BY ?i ?y
```
```sparql
SELECT ?s ?y (COUNT(DISTINCT ?w) AS ?n) WHERE { ?w a res:ResearchWork ; res:source ?s ; res:year ?y . FILTER(?s IN (res:S01,res:S02,res:S04,res:S06)) } GROUP BY ?s ?y ORDER BY ?s ?y
```
```sparql
SELECT ?i (COUNT(DISTINCT ?w) AS ?full) (SUM(?f) AS ?frac) WHERE { { SELECT ?w ?i (SUM(?k) / MAX(?n) AS ?f) WHERE { ?w a res:ResearchWork ; res:year 2024 . { SELECT ?w (COUNT(DISTINCT ?x) AS ?n) WHERE { ?c res:work ?w ; res:author ?x } GROUP BY ?w } ?ca res:work ?w ; res:author ?au ; res:institution ?in . ?in res:countsTowards ?i . FILTER(?i IN (res:I07,res:I09)) BIND(1 AS ?k) } GROUP BY ?w ?i } } GROUP BY ?i
```Query results
Query 1 failed: What do I do with this CompValue? GroupGraphPatternSub_GroupGraphPatternSub_{'part': [TriplesBlock_{'triples': [[rdflib.term.Variable('__agg_2__'), PathAlternative_{'part': [PathSequence_{'part': [PathElt_{'part': rdflib.term.URIRef('http://www.w3.org/1999/02/22-rdf-syntax-ns#type'), '_vars': set()}
Query 2:
| i | y | n |
|---|---|---|
| res:I01 | 2019 | 20 |
| res:I01 | 2020 | 19 |
| res:I01 | 2021 | 16 |
| res:I01 | 2022 | 8 |
| res:I01 | 2023 | 27 |
| res:I01 | 2024 | 34 |
| res:I01 | 2025 | 16 |
| res:I02 | 2019 | 13 |
| res:I02 | 2020 | 12 |
| res:I02 | 2021 | 11 |
| res:I02 | 2022 | 3 |
| res:I02 | 2023 | 19 |
| res:I02 | 2024 | 25 |
| res:I02 | 2025 | 12 |
| res:I06 | 2019 | 3 |
| res:I06 | 2020 | 1 |
| res:I06 | 2022 | 4 |
| res:I06 | 2023 | 3 |
| res:I06 | 2024 | 2 |
| res:I06 | 2025 | 3 |
| res:I07 | 2019 | 7 |
| res:I07 | 2020 | 5 |
| res:I07 | 2021 | 8 |
| res:I07 | 2022 | 8 |
| res:I07 | 2023 | 11 |
| res:I07 | 2024 | 13 |
| res:I07 | 2025 | 7 |
| res:I08 | 2019 | 2 |
| res:I08 | 2020 | 4 |
| res:I08 | 2021 | 4 |
| res:I08 | 2022 | 1 |
| res:I08 | 2023 | 5 |
| res:I08 | 2024 | 6 |
| res:I08 | 2025 | 3 |
| res:I09 | 2019 | 5 |
| res:I09 | 2020 | 2 |
| res:I09 | 2021 | 7 |
| res:I09 | 2022 | 8 |
| res:I09 | 2023 | 6 |
| res:I09 | 2024 | 16 |
| res:I09 | 2025 | 4 |
| res:I14 | 2019 | 8 |
| res:I14 | 2020 | 4 |
| res:I14 | 2021 | 4 |
| res:I14 | 2022 | 2 |
| res:I14 | 2023 | 5 |
| res:I14 | 2024 | 16 |
| res:I14 | 2025 | 6 |
Query 3:
| s | y | n |
|---|---|---|
| res:S01 | 2019 | 12 |
| res:S01 | 2020 | 8 |
| res:S01 | 2021 | 9 |
| res:S01 | 2022 | 8 |
| res:S01 | 2023 | 11 |
| res:S01 | 2024 | 24 |
| res:S01 | 2025 | 16 |
| res:S02 | 2019 | 15 |
| res:S02 | 2020 | 12 |
| res:S02 | 2021 | 12 |
| res:S02 | 2022 | 8 |
| res:S02 | 2023 | 18 |
| res:S02 | 2024 | 25 |
| res:S02 | 2025 | 20 |
| res:S06 | 2019 | 4 |
| res:S06 | 2020 | 2 |
| res:S06 | 2021 | 5 |
| res:S06 | 2022 | 3 |
| res:S06 | 2023 | 8 |
| res:S06 | 2024 | 9 |
| res:S06 | 2025 | 5 |
Query 4:
| i | full | frac |
|---|---|---|
| | 0 | 0 |
Run more queries, or give the final answers.The model
```sparql
SELECT ?w ?t ?y ?wt ?ca ?vo ?ret ?au ?rw WHERE { ?a res:work ?w ; res:author ?au . ?w res:title ?t . OPTIONAL{?w res:year ?y} OPTIONAL{?w res:workType ?wt} OPTIONAL{?w res:countsAs ?ca} OPTIONAL{?w res:versionOf ?vo} OPTIONAL{?w res:retracted ?ret} BIND(EXISTS{?w a res:ResearchWork} AS ?rw) FILTER(?au IN (res:A01,res:A02,res:A03,res:A101,res:A05,res:A104,res:A07,res:A108,res:A09,res:A103,res:A04,res:A06) || CONTAINS(?t,"Drift-aware") || ?w IN (res:W23,res:W30,res:W31,res:W70,res:W71)) } ORDER BY ?w
```
```sparql
SELECT ?w ?t ?y ?wt ?ca ?vo WHERE { ?w res:title ?t . OPTIONAL{?w res:year ?y} OPTIONAL{?w res:workType ?wt} OPTIONAL{?w res:countsAs ?ca} OPTIONAL{?w res:versionOf ?vo} FILTER(?w IN (res:W30,res:W31,res:W70,res:W71,res:W23) || CONTAINS(?t,"Drift-aware") || BOUND(?vo)) }
```
```sparql
SELECT ?i ?p ?o WHERE { ?i ?p ?o . FILTER(?p IN (res:parent,res:unitOf,res:ultimateParent,res:countsTowards)) FILTER(?i IN (res:I03,res:I04,res:I05,res:I06,res:I10,res:I13)) }
```
```sparql
SELECT ?c ?a ?b WHERE { ?c res:citingWork ?a ; res:citedWork ?b . FILTER(?b IN (res:W01,res:W30,res:W31)) }
```Query results
Query 1:
| w | t | y | wt | ca | vo | ret | au | rw |
|---|---|---|---|---|---|---|---|---|
| res:W01 | Adaptive path planning for underwater gliders | 2021 | res:wtype-ART | res:W01 | | false | res:A01 | true |
| res:W01 | Adaptive path planning for underwater gliders | 2021 | res:wtype-ART | res:W01 | | false | res:A07 | true |
| res:W02 | Drift-aware mapping with low-cost sonar | 2022 | res:wtype-PPR | res:W03 | res:W03 | false | res:A02 | false |
| res:W02 | Drift-aware mapping with low-cost sonar | 2022 | res:wtype-PPR | res:W03 | res:W03 | false | res:A07 | false |
| res:W03 | Drift-aware mapping with low-cost sonar | 2023 | res:wtype-ART | res:W03 | | false | res:A03 | true |
| res:W03 | Drift-aware mapping with low-cost sonar | 2023 | res:wtype-ART | res:W03 | | false | res:A07 | true |
| res:W04 | Editorial: a new decade of marine autonomy | 2023 | res:wtype-EDT | res:W04 | | false | res:A01 | false |
| res:W05 | Erratum: Drift-aware mapping with low-cost sonar | 2024 | res:wtype-ERR | res:W05 | | false | res:A01 | false |
| res:W05 | Erratum: Drift-aware mapping with low-cost sonar | 2024 | res:wtype-ERR | res:W05 | | false | res:A07 | false |
| res:W06 | Shoreline change detection from glider transects | 2024 | res:wtype-ART | res:W06 | | false | res:A01 | true |
| res:W07 | Low-cost sonar arrays for coastal monitoring | 2020 | res:wtype-ART | res:W07 | | false | res:A02 | false |
| res:W08 | Turbulent wake modelling behind tidal turbines | 2025 | res:wtype-ART | res:W08 | | false | res:A04 | true |
| res:W1005 | Remote sensing of buoy telemetry in fjords | 2025 | res:wtype-ART | res:W1005 | | false | res:A01 | true |
| res:W1018 | Remote sensing of estuarine salinity in the Brevin shelf | 2025 | res:wtype-ART | res:W1018 | | false | res:A108 | true |
| res:W1020 | Machine learning for vortex shedding in mixed-energy coasts | 2020 | res:wtype-ART | res:W1020 | | false | res:A04 | false |
| res:W1025 | Long-term trends in stratified flows | 2020 | res:wtype-ART | res:W1025 | | true | res:A09 | false |
| res:W1031 | Remote sensing of internal waves in the open shelf | 2025 | res:wtype-ART | res:W1031 | | false | res:A06 | true |
| res:W1038 | Low-cost methods for marsh accretion | 2020 | res:wtype-ART | res:W1038 | | false | res:A05 | true |
| res:W1048 | Long-term trends in fleet coordination in shallow channels | 2023 | res:wtype-ART | res:W1048 | | false | res:A02 | true |
| res:W1050 | Low-cost methods for glider navigation in the Wexcombe marshes | 2024 | res:wtype-ART | res:W1050 | | false | res:A02 | true |
| res:W12 | Sonar mosaics from glider fleets | 2024 | res:wtype-ART | res:W12 | | false | res:A01 | true |
| res:W13 | Fleet coordination for survey gliders | 2024 | res:wtype-ART | res:W13 | | false | res:A07 | true |
| res:W14 | Harbour mapping with autonomous surface vessels | 2025 | res:wtype-ART | res:W14 | | false | res:A05 | true |
| res:W16 | Sonar-based wake detection | 2025 | res:wtype-ART | res:W16 | | false | res:A04 | true |
| res:W19 | Glider-borne turbidity sensing | 2025 | res:wtype-ART | res:W19 | | false | res:A02 | true |
| res:W20 | Bed shear stress under breaking waves | 2024 | res:wtype-ART | res:W20 | | false | res:A09 | true |
| res:W203 | A community intercomparison of beach profiles | 2024 | res:wtype-ART | res:W203 | | false | res:A09 | true |
| res:W206 | Observations of buoy telemetry in a semi-enclosed sea | 2020 | res:wtype-ART | res:W206 | | false | res:A03 | true |
| res:W21 | A field campaign on tidal mixing | 2024 | res:wtype-ART | res:W21 | | false | res:A09 | true |
| res:W219 | Remote sensing of sensor calibration | 2022 | res:wtype-PPR | res:W251 | res:W251 | false | res:A07 | false |
| res:W22 | Turbulence closures for coastal models: a review | 2024 | res:wtype-REV | res:W22 | | false | res:A09 | true |
| res:W23 | Anomalous dissipation in estuarine plumes | 2023 | res:wtype-ART | res:W23 | | true | res:A09 | false |
| res:W232 | A model of channel hydraulics | 2019 | res:wtype-ART | res:W232 | | false | res:A09 | true |
| res:W238 | Observations of survey vessel autonomy in tidal inlets | 2023 | res:wtype-ART | res:W238 | | false | res:A01 | true |
| res:W251 | Remote sensing of sensor calibration | 2023 | res:wtype-ART | res:W251 | | false | res:A07 | true |
| res:W262 | Revisiting sensor calibration in a semi-enclosed sea | 2025 | res:wtype-ART | res:W262 | | false | res:A07 | true |
| res:W268 | Remote sensing of turbulent wakes in a laboratory flume | 2025 | res:wtype-ART | res:W268 | | false | res:A09 | false |
| res:W271 | Editorial: battery endurance | 2019 | res:wtype-EDT | res:W271 | | false | res:A01 | false |
| res:W28 | Calibration drift in conductivity sensors | 2024 | res:wtype-ART | res:W28 | | false | res:A06 | true |
| res:W292 | A model of underwater docking in the Albury estuary | 2020 | res:wtype-ART | res:W292 | | false | res:A07 | true |
| res:W293 | Low-cost methods for buoy telemetry | 2023 | res:wtype-ART | res:W293 | | false | res:A07 | true |
| res:W30 | Tidal stream resource maps for the Dunmore coast | 2019 | res:wtype-ART | res:W30 | | false | res:A15 | true |
| res:W31 | Machine-learned tidal forecasts | 2023 | res:wtype-ART | res:W31 | | false | res:A17 | true |
| res:W34 | Evaluating turbulence closures against flume data | 2025 | res:wtype-ART | res:W34 | | false | res:A06 | true |
| res:W366 | Scaling laws for tidal mixing in harbour basins | 2022 | res:wtype-ART | res:W366 | | false | res:A09 | true |
| res:W37 | Port traffic and seabed disturbance | 2022 | res:wtype-ART | res:W37 | | false | res:A05 | true |
| res:W374 | Machine learning for underwater docking in the open shelf | 2023 | res:wtype-ART | res:W374 | | true | res:A01 | false |
| res:W38 | Seagrass mapping from aerial imagery | 2023 | res:wtype-ART | res:W38 | | false | res:A06 | true |
| res:W384 | Machine learning for storm surge | 2025 | res:wtype-ART | res:W384 | | false | res:A06 | true |
| res:W417 | A model of turbulent wakes in harbour basins | 2023 | res:wtype-ART | res:W417 | | false | res:A09 | true |
| res:W428 | Revisiting turbulent wakes in the open shelf | 2022 | res:wtype-ART | res:W428 | | false | res:A04 | true |
| res:W435 | Remote sensing of underwater docking in a macrotidal bay | 2023 | res:wtype-ART | res:W435 | | false | res:A07 | true |
| res:W437 | Editorial: low-cost methods for beach profiles in shallow channels | 2024 | res:wtype-EDT | res:W437 | | false | res:A108 | false |
| res:W449 | Machine learning for glider navigation | 2022 | res:wtype-ART | res:W449 | | false | res:A02 | false |
| res:W464 | A framework for turbidity sensing | 2021 | res:wtype-ART | res:W464 | | false | res:A01 | true |
| res:W478 | Long-term trends in bed shear stress in a semi-enclosed sea | 2019 | res:wtype-ART | res:W478 | | false | res:A103 | true |
| res:W478 | Long-term trends in bed shear stress in a semi-enclosed sea | 2019 | res:wtype-ART | res:W478 | | false | res:A103 | true |
| res:W509 | Uncertainty in harbour seiches estimates in fjords | 2024 | res:wtype-ART | res:W509 | | false | res:A108 | true |
| res:W525 | A model of harbour seiches in the open shelf | 2024 | res:wtype-ART | res:W525 | | false | res:A06 | true |
| res:W531 | A framework for stratified flows in shallow channels | 2023 | res:wtype-ART | res:W531 | | false | res:A103 | true |
(50 more rows not shown)
Query 2:
| w | t | y | wt | ca | vo |
|---|---|---|---|---|---|
| res:W226 | Uncertainty in estuarine plumes estimates | 2023 | res:wtype-PPR | res:W710 | res:W710 |
| res:W1049 | Field measurements of tidal mixing | 2021 | res:wtype-PPR | res:W789 | res:W789 |
| res:W432 | Revisiting tidal asymmetry in tidal inlets | 2023 | res:wtype-PPR | res:W879 | res:W879 |
| res:W05 | Erratum: Drift-aware mapping with low-cost sonar | 2024 | res:wtype-ERR | res:W05 | |
| res:W210 | Low-cost methods for estuarine salinity | 2021 | res:wtype-PPR | res:W902 | res:W902 |
| res:W416 | Uncertainty in turbidity sensing estimates in a semi-enclosed sea | 2020 | res:wtype-PPR | res:W640 | res:W640 |
| res:W506 | Remote sensing of coastal upwelling | 2022 | res:wtype-PPR | res:W422 | res:W422 |
| res:W611 | A framework for wave boundary layers in shallow channels | 2019 | res:wtype-PPR | res:W301 | res:W301 |
| res:W70 | Optical backscatter in turbid estuaries | 2023 | res:wtype-ART | res:W70 | |
| res:W71 | Low-power optical sensors for gliders | 2024 | res:wtype-ART | res:W71 | |
| res:W219 | Remote sensing of sensor calibration | 2022 | res:wtype-PPR | res:W251 | res:W251 |
| res:W23 | Anomalous dissipation in estuarine plumes | 2023 | res:wtype-ART | res:W23 | |
| res:W460 | Low-cost methods for sensor calibration | 2022 | res:wtype-PPR | res:W496 | res:W496 |
| res:W663 | A framework for turbidity sensing | 2021 | res:wtype-PPR | res:W464 | res:W464 |
| res:W877 | A model of breaking waves in the North Sea | 2023 | res:wtype-PPR | res:W965 | res:W965 |
| res:W263 | Low-cost methods for storm surge in shallow channels | 2019 | res:wtype-PPR | res:W279 | res:W279 |
| res:W407 | Low-cost methods for bed shear stress in fjords: a review | 2023 | res:wtype-PPR | res:W1027 | res:W1027 |
| res:W42 | Machine-learned tidal forecasts | 2023 | res:wtype-PPR | res:W31 | res:W31 |
| res:W31 | Machine-learned tidal forecasts | 2023 | res:wtype-ART | res:W31 | |
| res:W556 | Low-cost methods for marsh accretion | 2019 | res:wtype-PPR | res:W1038 | res:W1038 |
| res:W612 | A model of survey vessel autonomy in mixed-energy coasts | 2023 | res:wtype-PPR | res:W869 | res:W869 |
| res:W522 | Observations of estuarine plumes | 2020 | res:wtype-PPR | res:W312 | res:W312 |
| res:W728 | Uncertainty in wave boundary layers estimates | 2019 | res:wtype-PPR | res:W665 | res:W665 |
| res:W524 | Field measurements of harbour seiches in the North Sea | 2020 | res:wtype-PPR | res:W807 | res:W807 |
| res:W730 | A framework for tidal asymmetry in the Albury estuary | 2020 | res:wtype-PPR | res:W303 | res:W303 |
| res:W545 | Field measurements of beach profiles | 2019 | res:wtype-PPR | res:W742 | res:W742 |
| res:W322 | A framework for fleet coordination | 2019 | res:wtype-PPR | res:W453 | res:W453 |
| res:W02 | Drift-aware mapping with low-cost sonar | 2022 | res:wtype-PPR | res:W03 | res:W03 |
| res:W03 | Drift-aware mapping with low-cost sonar | 2023 | res:wtype-ART | res:W03 | |
| res:W30 | Tidal stream resource maps for the Dunmore coast | 2019 | res:wtype-ART | res:W30 | |
Query 3:
| i | p | o |
|---|---|---|
| res:I04 | res:parent | res:I03 |
| res:I06 | res:countsTowards | res:I06 |
| res:I04 | res:countsTowards | res:I03 |
| res:I04 | res:countsTowards | res:I04 |
| res:I05 | res:parent | res:I01 |
| res:I05 | res:countsTowards | res:I01 |
| res:I04 | res:countsTowards | res:I01 |
| res:I10 | res:ultimateParent | res:I10 |
| res:I06 | res:parent | res:I02 |
| res:I03 | res:countsTowards | res:I01 |
| res:I03 | res:unitOf | res:I02 |
| res:I03 | res:countsTowards | res:I03 |
| res:I04 | res:unitOf | res:I03 |
| res:I13 | res:countsTowards | res:I13 |
| res:I06 | res:ultimateParent | res:I06 |
| res:I04 | res:ultimateParent | res:I01 |
| res:I05 | res:unitOf | res:I01 |
| res:I04 | res:countsTowards | res:I02 |
| res:I05 | res:ultimateParent | res:I01 |
| res:I03 | res:ultimateParent | res:I01 |
| res:I10 | res:countsTowards | res:I10 |
| res:I03 | res:parent | res:I02 |
| res:I13 | res:ultimateParent | res:I13 |
| res:I03 | res:countsTowards | res:I02 |
| res:I05 | res:countsTowards | res:I05 |
Query 4:
| c | a | b |
|---|---|---|
| res:C-W1033-W30 | res:W1033 | res:W30 |
| res:C-W246-W30 | res:W246 | res:W30 |
| res:C-W274-W30 | res:W274 | res:W30 |
| res:C-W276-W30 | res:W276 | res:W30 |
| res:C-W289-W30 | res:W289 | res:W30 |
| res:C-W320-W30 | res:W320 | res:W30 |
| res:C-W334-W30 | res:W334 | res:W30 |
| res:C-W439-W30 | res:W439 | res:W30 |
| res:C-W60-W30 | res:W60 | res:W30 |
| res:C-W61-W30 | res:W61 | res:W30 |
| res:C-W62-W30 | res:W62 | res:W30 |
| res:C-W63-W30 | res:W63 | res:W30 |
| res:C-W64-W30 | res:W64 | res:W30 |
| res:C-W856-W30 | res:W856 | res:W30 |
| res:C-W878-W30 | res:W878 | res:W30 |
| res:C-W894-W30 | res:W894 | res:W30 |
| res:C-W988-W30 | res:W988 | res:W30 |
| res:C-W992-W30 | res:W992 | res:W30 |
| res:C-W1039-W31 | res:W1039 | res:W31 |
| res:C-W318-W31 | res:W318 | res:W31 |
| res:C-W320-W31 | res:W320 | res:W31 |
| res:C-W62-W31 | res:W62 | res:W31 |
| res:C-W65-W31 | res:W65 | res:W31 |
| res:C-W650-W31 | res:W650 | res:W31 |
| res:C-W66-W31 | res:W66 | res:W31 |
| res:C-W794-W31 | res:W794 | res:W31 |
| res:C-W851-W31 | res:W851 | res:W31 |
| res:C-W878-W31 | res:W878 | res:W31 |
| res:C-W229-W01 | res:W229 | res:W01 |
| res:C-W40-W01 | res:W40 | res:W01 |
| res:C-W41-W01 | res:W41 | res:W01 |
| res:C-W602-W01 | res:W602 | res:W01 |
| res:C-W657-W01 | res:W657 | res:W01 |
| res:C-W660-W01 | res:W660 | res:W01 |
| res:C-W844-W01 | res:W844 | res:W01 |
| res:C-W895-W01 | res:W895 | res:W01 |
Run more queries, or give the final answers.The model
```sparql
SELECT ?p (COUNT(DISTINCT ?w) AS ?n) (GROUP_CONCAT(DISTINCT ?w;separator=",") AS ?ws) WHERE { VALUES (?au ?p) {(res:A01 res:A01)(res:A02 res:A01)(res:A03 res:A01)(res:A101 res:A01)(res:A05 res:A05)(res:A104 res:A05)(res:A07 res:A07)(res:A09 res:A09)(res:A103 res:A09)} ?a res:author ?au ; res:work ?w . FILTER EXISTS {?w a res:ResearchWork} } GROUP BY ?p
```
```sparql
SELECT ?kind (GROUP_CONCAT(DISTINCT CONCAT(STR(?w)," ",STR(?wt)," ",STR(?ret));separator=" ; ") AS ?ws) WHERE { VALUES ?au {res:A01 res:A02 res:A03 res:A101} ?a res:author ?au ; res:work ?w . ?w res:workType ?wt ; res:retracted ?ret . BIND(IF(EXISTS{?w a res:ResearchWork},"R","N") AS ?kind) } GROUP BY ?kind
```
```sparql
SELECT ?i ?tag (COUNT(DISTINCT ?w) AS ?full) (SUM(?sh) AS ?frac) WHERE { { SELECT DISTINCT ?w ?au ?i ?sh WHERE { ?w a res:ResearchWork ; res:year 2024 . { SELECT ?w (COUNT(DISTINCT ?p) AS ?n) WHERE { ?w res:hasPerson ?p } GROUP BY ?w } ?a a res:Authorship ; res:work ?w ; res:author ?au ; res:institution ?in . ?in res:countsTowards ?i . FILTER(?i IN (res:I07,res:I09)) BIND(1/?n AS ?sh) } } BIND("x" AS ?tag) } GROUP BY ?i ?tag
```
```sparql
SELECT ?c (COUNT(DISTINCT ?w) AS ?full) (SUM(?sh) AS ?frac) WHERE { SELECT DISTINCT ?w ?au ?c ?sh WHERE { ?w a res:ResearchWork ; res:year 2024 . { SELECT ?w (COUNT(DISTINCT ?p) AS ?n) WHERE { ?w res:hasPerson ?p } GROUP BY ?w } ?a a res:Authorship ; res:work ?w ; res:author ?au ; res:institution ?in . ?in res:countsTowards ?t . ?t res:country ?c . FILTER(?c="GB") BIND(1/?n AS ?sh) } } GROUP BY ?c
```
```sparql
SELECT ?x (GROUP_CONCAT(DISTINCT STR(?p);separator=",") AS ?ps) (GROUP_CONCAT(DISTINCT STR(?i);separator=",") AS ?is) (GROUP_CONCAT(DISTINCT STR(?c);separator=",") AS ?cs) WHERE { ?cit res:citingWork ?x ; res:citedWork ?t . FILTER(?t IN (res:W02,res:W03)) OPTIONAL{?x res:hasPerson ?p} OPTIONAL{?x res:creditedInstitution ?i} OPTIONAL{?x res:creditedCountry ?c} } GROUP BY ?x
```
```sparql
SELECT ?i (COUNT(DISTINCT ?x) AS ?n) WHERE { ?k a res:ResearchWork ; res:creditedInstitution res:I07 . ?x res:cites ?k ; res:creditedInstitution ?i . } GROUP BY ?i ORDER BY DESC(?n) LIMIT 8
```
```sparql
SELECT ?k (COUNT(DISTINCT ?x) AS ?n) WHERE { ?k a res:ResearchWork ; res:creditedInstitution res:I07 . ?x res:cites ?k } GROUP BY ?k ORDER BY DESC(?n) LIMIT 4
```
```sparql
SELECT ?t (COUNT(DISTINCT ?x) AS ?total) (COUNT(DISTINCT ?xw) AS ?win) WHERE { ?c res:citingWork ?x ; res:citedWork ?cw . ?cw res:countsAs ?t . FILTER(?t IN (res:W30,res:W31)) ?t res:year ?ty . OPTIONAL{ ?x res:year ?xy . FILTER(?xy>=?ty && ?xy<=?ty+2) BIND(?x AS ?xw) } } GROUP BY ?t
```
```sparql
SELECT (COUNT(DISTINCT ?z) AS ?nz) (GROUP_CONCAT(DISTINCT STR(?z);separator=",") AS ?zs) (COUNT(DISTINCT ?y) AS ?ny) WHERE { ?y res:cites res:W01 . OPTIONAL{?z res:cites ?y} }
```
```sparql
SELECT (COUNT(DISTINCT ?w) AS ?n) WHERE { { ?w res:cites res:W01 } UNION { ?y res:cites res:W01 . ?w res:cites ?y } }
```
```sparql
SELECT (COUNT(DISTINCT CONCAT(STR(?w),STR(?x))) AS ?cites) WHERE { ?w a res:ResearchWork ; res:hasPerson res:A09 . ?x res:cites ?w }
```
```sparql
SELECT ?q ?a ?b WHERE { { ?a res:tierRank ?b . BIND("rank" AS ?q) } UNION { ?a res:tier ?b . FILTER(?a IN (res:S01,res:S02,res:S03,res:S04)) BIND("tier" AS ?q) } UNION { ?a res:creditedInstitution ?b . FILTER(?a IN (res:W70,res:W71)) BIND("ci" AS ?q) } UNION { ?a res:ultimateParent res:I01 . BIND("up" AS ?q) BIND(res:I01 AS ?b) } UNION { ?a res:countsTowards res:I01 . BIND("ct" AS ?q) BIND(res:I01 AS ?b) } }
```
```sparql
SELECT (COUNT(DISTINCT ?w) AS ?n) WHERE { ?w a res:ResearchWork ; res:creditedInstitution res:I02 ; res:source ?s . ?s res:tier ?t . ?t res:tierRank 1 }
```
```sparql
SELECT (COUNT(DISTINCT ?w) AS ?n) (GROUP_CONCAT(DISTINCT CONCAT(STR(?w),">",STR(?v));separator=",") AS ?l) WHERE { ?w res:versionOf ?v . ?v res:title ?t }
```
```sparql
SELECT ?s (COUNT(DISTINCT ?w) AS ?n) WHERE { ?w a res:ResearchWork ; res:source res:S04 . BIND(res:S04 AS ?s) } GROUP BY ?s
```
```sparql
SELECT ?au (COUNT(DISTINCT ?w) AS ?n) WHERE { ?w a res:ResearchWork . ?a a res:Authorship ; res:work ?w ; res:author ?au ; res:institution ?in . ?in res:countsTowards res:I02 } GROUP BY ?au ORDER BY DESC(?n) LIMIT 5
```Query results
Query 1:
| p | n | ws |
|---|---|---|
| res:A01 | 19 | https://example.org/research/W01,https://example.org/research/W06,https://example.org/research/W1005,https://example.org/research/W12,https://example.org/research/W238,https://example.org/research/W464,https://example.org/research/W676,https://example.org/research/W1048,https://example.org/research/W1050,https://example.org/research/W19,https://example.org/research/W869,https://example.org/research/W972,https://example.org/research/W03,https://example.org/research/W206,https://example.org/research/W817,https://example.org/research/W555,https://example.org/research/W843,https://example.org/research/W905,https://example.org/research/W984 |
| res:A05 | 9 | https://example.org/research/W1038,https://example.org/research/W14,https://example.org/research/W37,https://example.org/research/W554,https://example.org/research/W565,https://example.org/research/W785,https://example.org/research/W792,https://example.org/research/W702,https://example.org/research/W725 |
| res:A07 | 15 | https://example.org/research/W01,https://example.org/research/W03,https://example.org/research/W13,https://example.org/research/W251,https://example.org/research/W262,https://example.org/research/W292,https://example.org/research/W293,https://example.org/research/W435,https://example.org/research/W553,https://example.org/research/W598,https://example.org/research/W72,https://example.org/research/W758,https://example.org/research/W787,https://example.org/research/W833,https://example.org/research/W969 |
| res:A09 | 12 | https://example.org/research/W20,https://example.org/research/W203,https://example.org/research/W21,https://example.org/research/W22,https://example.org/research/W232,https://example.org/research/W366,https://example.org/research/W417,https://example.org/research/W738,https://example.org/research/W967,https://example.org/research/W478,https://example.org/research/W531,https://example.org/research/W686 |
Query 2:
| kind | ws |
|---|---|
| R | https://example.org/research/W01 https://example.org/research/wtype-ART false ; https://example.org/research/W06 https://example.org/research/wtype-ART false ; https://example.org/research/W1005 https://example.org/research/wtype-ART false ; https://example.org/research/W12 https://example.org/research/wtype-ART false ; https://example.org/research/W238 https://example.org/research/wtype-ART false ; https://example.org/research/W464 https://example.org/research/wtype-ART false ; https://example.org/research/W676 https://example.org/research/wtype-ART false ; https://example.org/research/W1048 https://example.org/research/wtype-ART false ; https://example.org/research/W1050 https://example.org/research/wtype-ART false ; https://example.org/research/W19 https://example.org/research/wtype-ART false ; https://example.org/research/W869 https://example.org/research/wtype-ART false ; https://example.org/research/W972 https://example.org/research/wtype-ART false ; https://example.org/research/W03 https://example.org/research/wtype-ART false ; https://example.org/research/W206 https://example.org/research/wtype-ART false ; https://example.org/research/W817 https://example.org/research/wtype-ART false ; https://example.org/research/W555 https://example.org/research/wtype-ART false ; https://example.org/research/W843 https://example.org/research/wtype-ART false ; https://example.org/research/W905 https://example.org/research/wtype-ART false ; https://example.org/research/W984 https://example.org/research/wtype-ART false |
| N | https://example.org/research/W04 https://example.org/research/wtype-EDT false ; https://example.org/research/W05 https://example.org/research/wtype-ERR false ; https://example.org/research/W271 https://example.org/research/wtype-EDT false ; https://example.org/research/W374 https://example.org/research/wtype-ART true ; https://example.org/research/W813 https://example.org/research/wtype-ERR false ; https://example.org/research/W949 https://example.org/research/wtype-ERR false ; https://example.org/research/W02 https://example.org/research/wtype-PPR false ; https://example.org/research/W07 https://example.org/research/wtype-ART false ; https://example.org/research/W449 https://example.org/research/wtype-ART false ; https://example.org/research/W663 https://example.org/research/wtype-PPR false ; https://example.org/research/W763 https://example.org/research/wtype-ART false ; https://example.org/research/W612 https://example.org/research/wtype-PPR false ; https://example.org/research/W936 https://example.org/research/wtype-EDT false |
Query 3:
(no rows)
Query 4:
(no rows)
Query 5:
| x | ps | is | cs |
|---|---|---|---|
| res:W1048 | https://example.org/research/A01 | https://example.org/research/I01,https://example.org/research/I02 | GB |
| res:W15 | https://example.org/research/A15 | https://example.org/research/I13 | GB |
| res:W18 | https://example.org/research/A107 | https://example.org/research/I09 | NL |
| res:W315 | https://example.org/research/A122 | https://example.org/research/I01,https://example.org/research/I02,https://example.org/research/I19 | GB |
| res:W397 | https://example.org/research/A109 | https://example.org/research/I07 | DE |
| res:W535 | https://example.org/research/A160,https://example.org/research/A168 | https://example.org/research/I11,https://example.org/research/I13 | FR,GB |
| res:W544 | https://example.org/research/A127,https://example.org/research/A128 | https://example.org/research/I01,https://example.org/research/I05 | GB |
| res:W558 | https://example.org/research/A176 | https://example.org/research/I24 | US |
| res:W843 | https://example.org/research/A01,https://example.org/research/A164 | https://example.org/research/I01,https://example.org/research/I02,https://example.org/research/I14 | GB,NL |
| res:W1056 | https://example.org/research/A102 | https://example.org/research/I09 | NL |
| res:W12 | https://example.org/research/A01,https://example.org/research/A16 | https://example.org/research/I01,https://example.org/research/I02,https://example.org/research/I05 | GB |
| res:W13 | https://example.org/research/A07 | https://example.org/research/I01,https://example.org/research/I02,https://example.org/research/I03 | GB |
| res:W14 | https://example.org/research/A05 | https://example.org/research/I01,https://example.org/research/I05 | GB |
| res:W16 | https://example.org/research/A04 | https://example.org/research/I07 | DE |
| res:W17 | https://example.org/research/A13 | https://example.org/research/I11 | FR |
| res:W214 | https://example.org/research/A129 | https://example.org/research/I13 | GB |
| res:W273 | https://example.org/research/A110,https://example.org/research/A163 | https://example.org/research/I01,https://example.org/research/I02,https://example.org/research/I14 | GB,NL |
| res:W349 | https://example.org/research/A130 | https://example.org/research/I01,https://example.org/research/I05,https://example.org/research/I20 | GB |
| res:W569 | https://example.org/research/A21 | https://example.org/research/I07 | DE |
| res:W598 | https://example.org/research/A07 | https://example.org/research/I01,https://example.org/research/I02,https://example.org/research/I03 | GB |
| res:W676 | https://example.org/research/A01 | https://example.org/research/I01,https://example.org/research/I02 | GB |
| res:W711 | https://example.org/research/A156 | https://example.org/research/I12 | FR |
| res:W748 | https://example.org/research/A126 | https://example.org/research/I01,https://example.org/research/I05 | GB |
| res:W761 | https://example.org/research/A22 | https://example.org/research/I06 | GB |
| res:W812 | https://example.org/research/A132 | https://example.org/research/I21 | GB |
| res:W833 | https://example.org/research/A07,https://example.org/research/A155 | https://example.org/research/I01,https://example.org/research/I02,https://example.org/research/I03,https://example.org/research/I12 | FR,GB |
| res:W889 | https://example.org/research/A167 | https://example.org/research/I13 | GB |
| res:W890 | https://example.org/research/A04 | https://example.org/research/I07 | DE |
| res:W931 | https://example.org/research/A119 | https://example.org/research/I01,https://example.org/research/I02,https://example.org/research/I03,https://example.org/research/I04 | GB |
| res:W973 | https://example.org/research/A111 | https://example.org/research/I01,https://example.org/research/I02 | GB |
Query 6:
| i | n |
|---|---|
| res:I12 | 12 |
| res:I01 | 5 |
| res:I09 | 4 |
| res:I11 | 4 |
| res:I02 | 3 |
| res:I14 | 3 |
| res:I19 | 2 |
| res:I05 | 2 |
Query 7:
| k | n |
|---|---|
| res:W20 | 13 |
| res:W473 | 2 |
| res:W450 | 2 |
| res:W855 | 2 |
Query 8:
| t | total | win |
|---|---|---|
| res:W30 | 18 | 0 |
| res:W31 | 13 | 0 |
Query 9:
| nz | zs | ny |
|---|---|---|
| 11 | https://example.org/research/W682,https://example.org/research/W1042,https://example.org/research/W338,https://example.org/research/W52,https://example.org/research/W51,https://example.org/research/W895,https://example.org/research/W337,https://example.org/research/W546,https://example.org/research/W801,https://example.org/research/W50,https://example.org/research/W396 | 7 |
Query 10:
| n |
|---|
| 17 |
Query 11:
| cites |
|---|
| 20 |
Query 12:
| q | a | b |
|---|---|---|
| rank | res:tier-K3 | 1 |
| rank | res:tier-K1 | 3 |
| rank | res:tier-K2 | 2 |
| tier | res:S04 | res:tier-K0 |
| tier | res:S03 | res:tier-K1 |
| tier | res:S02 | res:tier-K2 |
| tier | res:S01 | res:tier-K3 |
| ci | res:W71 | res:I01 |
| ci | res:W71 | res:I02 |
| ci | res:W70 | res:I06 |
| ci | res:W71 | res:I03 |
| ci | res:W71 | res:I04 |
| up | res:I20 | res:I01 |
| up | res:I04 | res:I01 |
| up | res:I19 | res:I01 |
| up | res:I05 | res:I01 |
| up | res:I03 | res:I01 |
| up | res:I01 | res:I01 |
| up | res:I02 | res:I01 |
| ct | res:I20 | res:I01 |
| ct | res:I04 | res:I01 |
| ct | res:I19 | res:I01 |
| ct | res:I05 | res:I01 |
| ct | res:I03 | res:I01 |
| ct | res:I01 | res:I01 |
| ct | res:I02 | res:I01 |
Query 13:
| n |
|---|
| 19 |
Query 14:
| n | l |
|---|---|
| 23 | https://example.org/research/W226>https://example.org/research/W710,https://example.org/research/W1049>https://example.org/research/W789,https://example.org/research/W432>https://example.org/research/W879,https://example.org/research/W210>https://example.org/research/W902,https://example.org/research/W416>https://example.org/research/W640,https://example.org/research/W506>https://example.org/research/W422,https://example.org/research/W611>https://example.org/research/W301,https://example.org/research/W219>https://example.org/research/W251,https://example.org/research/W460>https://example.org/research/W496,https://example.org/research/W663>https://example.org/research/W464,https://example.org/research/W877>https://example.org/research/W965,https://example.org/research/W263>https://example.org/research/W279,https://example.org/research/W407>https://example.org/research/W1027,https://example.org/research/W42>https://example.org/research/W31,https://example.org/research/W556>https://example.org/research/W1038,https://example.org/research/W612>https://example.org/research/W869,https://example.org/research/W522>https://example.org/research/W312,https://example.org/research/W728>https://example.org/research/W665,https://example.org/research/W524>https://example.org/research/W807,https://example.org/research/W730>https://example.org/research/W303,https://example.org/research/W545>https://example.org/research/W742,https://example.org/research/W322>https://example.org/research/W453,https://example.org/research/W02>https://example.org/research/W03 |
Query 15:
(no rows)
Query 16:
| au | n |
|---|---|
| res:A07 | 15 |
| res:A110 | 14 |
| res:A118 | 14 |
| res:A111 | 10 |
| res:A125 | 10 |
Run more queries, or give the final answers.The model
```sparql
SELECT ?i ?w (COUNT(DISTINCT ?p) AS ?n) (COUNT(DISTINCT ?au) AS ?k) WHERE { ?w a res:ResearchWork ; res:year 2024 ; res:hasPerson ?p . ?a a res:Authorship ; res:work ?w ; res:author ?au ; res:institution ?in . ?in res:countsTowards ?i . FILTER(?i IN (res:I07,res:I09)) } GROUP BY ?i ?w
```
```sparql
SELECT ?w (COUNT(DISTINCT ?p) AS ?n) (COUNT(DISTINCT ?au) AS ?k) WHERE { ?w a res:ResearchWork ; res:year 2024 ; res:hasPerson ?p . ?a a res:Authorship ; res:work ?w ; res:author ?au ; res:institution ?in . ?in res:countsTowards ?t . ?t res:country "GB" } GROUP BY ?w
```
```sparql
SELECT ?t ?x ?xy WHERE { ?c res:citingWork ?x ; res:citedWork ?cw . ?cw res:countsAs ?t . FILTER(?t IN (res:W30,res:W31)) OPTIONAL{?x res:year ?xy} } ORDER BY ?t ?xy
```Query results
Query 1:
(no rows)
Query 2:
(no rows)
Query 3:
| t | x | xy |
|---|---|---|
| res:W30 | res:W60 | 2020 |
| res:W30 | res:W988 | 2021 |
| res:W30 | res:W276 | 2022 |
| res:W30 | res:W289 | 2022 |
| res:W30 | res:W439 | 2022 |
| res:W30 | res:W61 | 2022 |
| res:W30 | res:W246 | 2023 |
| res:W30 | res:W334 | 2023 |
| res:W30 | res:W62 | 2023 |
| res:W30 | res:W274 | 2024 |
| res:W30 | res:W320 | 2024 |
| res:W30 | res:W63 | 2024 |
| res:W30 | res:W856 | 2024 |
| res:W30 | res:W894 | 2024 |
| res:W30 | res:W1033 | 2025 |
| res:W30 | res:W64 | 2025 |
| res:W30 | res:W878 | 2025 |
| res:W30 | res:W992 | 2025 |
| res:W31 | res:W1039 | 2023 |
| res:W31 | res:W62 | 2023 |
| res:W31 | res:W851 | 2023 |
| res:W31 | res:W1039 | 2023 |
| res:W31 | res:W67 | 2023 |
| res:W31 | res:W757 | 2023 |
| res:W31 | res:W320 | 2024 |
| res:W31 | res:W65 | 2024 |
| res:W31 | res:W650 | 2024 |
| res:W31 | res:W318 | 2025 |
| res:W31 | res:W66 | 2025 |
| res:W31 | res:W794 | 2025 |
| res:W31 | res:W878 | 2025 |
| res:W31 | res:W249 | 2025 |
Run more queries, or give the final answers.The model
<invoke name="sparql">
SELECT ?i (COUNT(DISTINCT ?w) AS ?full) (SUM(?k/?n) AS ?frac) WHERE { { SELECT ?w ?i (COUNT(DISTINCT ?au) AS ?k) WHERE { ?a a res:Authorship ; res:work ?w ; res:author ?au ; res:institution ?in . ?in res:countsTowards ?i . FILTER(?i IN (res:I07,res:I09)) } GROUP BY ?w ?i } { SELECT ?w (COUNT(DISTINCT ?au2) AS ?n) WHERE { ?a2 a res:Authorship ; res:work ?w ; res:author ?au2 } GROUP BY ?w } ?w a res:ResearchWork ; res:year 2024 . } GROUP BY ?i
```
```sparql
SELECT (COUNT(DISTINCT ?w) AS ?full) (SUM(?k/?n) AS ?frac) WHERE { { SELECT ?w (COUNT(DISTINCT ?au) AS ?k) WHERE { ?a a res:Authorship ; res:work ?w ; res:author ?au ; res:institution ?in . ?in res:country "GB" } GROUP BY ?w } { SELECT ?w (COUNT(DISTINCT ?au2) AS ?n) WHERE { ?a2 a res:Authorship ; res:work ?w ; res:author ?au2 } GROUP BY ?w } ?w a res:ResearchWork ; res:year 2024 . }
```Query results
Query 1:
| full | frac |
|---|---|
| 0 | 0 |
Run more queries, or give the final answers.The model
**Q1.** 1. A01, A02, A03 (and A101) share ORCID 0000-0002-9841-6229 and are linked by samePersonAs.
**Q2.** 32 works (19 research works and 13 other records), listed in the JSON. These cover all of Mara's linked author records (A01, A02, A03, A101).
**Q3.** No. W37 is by A05 and W38 is by A06, and their ORCIDs differ.
**Q4.** 9. A05 has research works W1038, W14, W37, W554, W565, W785, W792, W702 and W725.
**Q5.** No. W08's author is A04, whose ORCID differs from Mara's.
**Q6.** A01 (the person Mara Ellison). I did not count at person level in the query, so this is an inference: she has 19 research works against 15 for A07, the best single record.
**Q7.** 19.
**Q8.** I01 (I04 is a unit of I03, which is a unit of I02, which is a unit of I01).
**Q9.** 95 (sum of the yearly counts for I02).
**Q10.** 140.
**Q11.** 59.
**Q12.** Full counting gives 13. I could not compute the fractional figure, because the query returned nothing.
**Q13.** Under full counting, I09 has 16 and I07 has 13, so I09 has more. I could not compute fractional counts. Q47 implies the order swaps, so I07 is my inference.
**Q14.** I could not compute either figure, because the queries returned nothing.
**Q15.** 25.
**Q16.** 88.
**Q17.** W04, W05, W271, W813, W936, W949. These are editorials and errata, so they are excluded by document type. The preprints are excluded as superseded by their published versions, and W374 is retracted.
**Q18.** 15.
**Q19.** 30 distinct citing works (cites of W02 and W03 combined).
**Q20.** 23 preprints, each linked by versionOf to a published version in the data. They are listed in the JSON.
**Q21.** 45.
**Q22.** W30 has more in total (18 against 13). W31 has more within its publication year and the two years after (13 against 2).
**Q23.** W30 has 18 citations in total and 2 in the window 2019–2021 (W60 and W988).
**Q24.** 12.
**Q25.** 20.
**Q26.** No. W23 is retracted, so it is not a ResearchWork.
**Q27.** I12, with 12 citing works.
**Q28.** 4.
**Q29.** 7 at author level, 11 at the University of Albury level, and 21 at country level.
**Q30.** 15.
**Q31.** The 11 works listed in the JSON.
**Q32.** 17.
**Q33.** W20, with 13 citations.
**Q34.** 7.
**Q35.** 25.
**Q36.** 36.
**Q37.** I06.
**Q38.** I01, I02, I03, I04.
**Q39.** I could not determine this, because the tier-rank join returned nothing. The highest tier is K3 (S01).
**Q40.** S01.
**Q41.** No. S03 is tier K1 (rank 3) and S02 is tier K2 (rank 2), so S02 is higher.
**Q42.** 0. S04 is tier K0 and has no ResearchWork records.
**Q43.** No. W07 is not a ResearchWork.
**Q44.** I02, I03, I04, I05, I19, I20. I06 is excluded: its parent is I02, but its derived ultimate parent is itself.
**Q45.** 16.
**Q46.** I06. The data lists I02 as its parent, but its derived ultimate parent is I06 itself.
**Q47/Q48.** I did not get enough data to explain these.
```json
{"Q1":{"count":1},
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```