Evidence map›Paper›PMID 31989008›Full record

ArticleData in brief2020

Dataset of ontology competency questions to SPARQL-OWL queries translations.

Jedrzej Potoniec, Dawid Wiśniewski, Agnieszka Ławrynowicz, C Maria Keet

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 25 citations in OpenAlex.

  1. The Immunopeptidomics Ontology (ImPO).Database : the journal of biological databases and curation · 2024
    Article
  2. Article
  3. An ontology network for Diabetes Mellitus in Mexico.Journal of biomedical semantics · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Jedrzej PotoniecFaculty of Computing, Poznan University of Technology, Ul. Piotrowo 3, 60-965 Poznan, Poland.
Dawid WiśniewskiFaculty of Computing, Poznan University of Technology, Ul. Piotrowo 3, 60-965 Poznan, Poland.
Agnieszka ŁawrynowiczFaculty of Computing, Poznan University of Technology, Ul. Piotrowo 3, 60-965 Poznan, Poland.
C Maria KeetDepartment of Computer Science, University of Cape Town, Private Bag X3 Rondebosch 7701 South Africa.
Poznań University of Technology · PLUniversity of Cape Town · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This data article reports on a new set of 234 competency questions for ontology development and their formalisation into a set of 131 SPARQL-OWL queries. This is the largest set of competency questions with their linked queries to date, covering several ontologies of different type in different subject domains developed by different groups of question authors and ontology developers. The dataset is focused specifically on the ontology TBox (terminological part). The dataset may serve as a manually created gold standard for testing and benchmarking, research into competency questions and querying ontologies, and tool development. The data is available in Mendeley Data. Its analysis is presented in "Analysis of Ontology Competency Questions and their formalizations in SPARQL-OWL" [15].

Indexed as

Competency questionsOntology authoringSemantic webSPARQL-OWL

Identifiers

PMID31989008
PMCPMC6971340
OpenAlexW2999279459

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.