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 proceedingConference contributionpeer-review


    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 languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    PublisherRWTH Aachen University
    Number of pages11
    ISBN (Print)9783642412417
    Publication statusPublished - 2013
    EventESWC 2013 Satellite Events: The Semantic Web - Montpellier
    Duration: 1 Jul 2013 → …

    Publication series

    NameCEUR Workshop Proceedings


    ConferenceESWC 2013 Satellite Events: The Semantic Web
    Period1/07/13 → …
    Internet address


    • NCIt ontology
    • OWL
    • ontology engineering
    • regression testing
    • ontology evaluation


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