Finding fault: Detecting issues in a versioned ontology

Maria Copeland; Rafael S. Gonçalves; Bijan Parsia; Uli Sattler; Robert Stevens

doi:10.1007/978-3-642-41242-4_10

Finding fault: Detecting issues in a versioned ontology

Maria Copeland, Rafael S. Gonçalves, Bijan Parsia, Uli Sattler, Robert Stevens

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Understanding ontology evolution is becoming an active topic of interest for ontology engineers, e.g., there exist large collaboratively-developed ontologies but, unlike in software engineering, comparatively little is understood about the dynamics of historical changes, especially at a fine level of granularity. Only recently has there been a systematic analysis of changes across ontology versions, but still at a coarse-grained level. The National Cancer Institute (NCI) Thesaurus (NCIt) is a large, collaboratively-developed ontology, used for various Web and research-related purposes, e.g., as a medical research controlled vocabulary. The NCI has published ten years worth of monthly versions of the NCIt as Web Ontology Language (OWL) documents, and has also published reports on the content of, development methodology for, and applications of the NCIt. In this paper, we carry out a fine-grained analysis of asserted axiom dynamics throughout the evolution of the NCIt from 2003 to 2012. From this, we are able to identify axiomatic editing patterns that suggest significant regression editing events in the development history of the NCIt. © Springer-Verlag 2013.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Publisher	RWTH Aachen University
Pages	113-124
Number of pages	11
Volume	7955
ISBN (Print)	9783642412417
DOIs	https://doi.org/10.1007/978-3-642-41242-4_10
Publication status	Published - 2013
Event	ESWC 2013 Satellite Events: The Semantic Web - Montpellier Duration: 1 Jul 2013 → … http://ceur-ws.org/Vol-999/

Publication series

Name	CEUR Workshop Proceedings

Conference

Conference	ESWC 2013 Satellite Events: The Semantic Web
City	Montpellier
Period	1/07/13 → …
Internet address	http://ceur-ws.org/Vol-999/

Keywords

NCIt ontology
OWL
ontology engineering
regression testing
ontology evaluation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-41242-4_10

Cite this

Copeland, M., Gonçalves, R. S., Parsia, B., Sattler, U., & Stevens, R. (2013). Finding fault: Detecting issues in a versioned ontology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. (Vol. 7955, pp. 113-124). (CEUR Workshop Proceedings). RWTH Aachen University. https://doi.org/10.1007/978-3-642-41242-4_10

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Copeland, M, Gonçalves, RS, Parsia, B , Sattler, U & Stevens, R 2013, Finding fault: Detecting issues in a versioned ontology. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 7955, CEUR Workshop Proceedings, RWTH Aachen University, pp. 113-124, ESWC 2013 Satellite Events: The Semantic Web, Montpellier, 1/07/13. https://doi.org/10.1007/978-3-642-41242-4_10

Finding fault: Detecting issues in a versioned ontology. / Copeland, Maria; Gonçalves, Rafael S.; Parsia, Bijan et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 7955 RWTH Aachen University, 2013. p. 113-124 (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Y2 - 1 July 2013

ER -

Copeland M, Gonçalves RS, Parsia B , Sattler U , Stevens R. Finding fault: Detecting issues in a versioned ontology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 7955. RWTH Aachen University. 2013. p. 113-124. (CEUR Workshop Proceedings). doi: 10.1007/978-3-642-41242-4_10

Finding fault: Detecting issues in a versioned ontology

Abstract

Publication series

Conference

Keywords

UN SDGs

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Cite this