Finding fault: detecting issues in a versioned ontology

@inproceedings{Copeland2013FindingFD,
  title={Finding fault: detecting issues in a versioned ontology},
  author={M. Copeland and Rafael S Gonçalves and B. Parsia and U. Sattler and R. Stevens},
  booktitle={WoDOOM},
  year={2013}
}
  • M. Copeland, Rafael S Gonçalves, +2 authors R. Stevens
  • Published in WoDOOM 2013
  • Computer Science
  • 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… CONTINUE READING
    12 Citations
    Supporting ontology adaptation and versioning based on a graph of relevance
    • 4
    How to Repair Inconsistency in OWL 2 DL Ontology Versions?
    • 6
    • Highly Influenced
    Inference Inspector: Improving the verification of ontology authoring actions
    • 10
    OWL 2 DL ontology inconsistencies prediction
    On Expert Behaviors and Question Types for Efficient Query-Based Ontology Fault Localization
    • PDF
    VERSION ANALYSIS FOR FAULT DETECTION IN OWL ONTOLOGIES
    • 2016
    • Highly Influenced

    References

    SHOWING 1-10 OF 13 REFERENCES
    Analysing Multiple Versions of an Ontology: A Study of the NCI Thesaurus
    • 23
    • PDF
    Analysing the evolution of the NCI Thesaurus
    • 28
    Categorising logical differences between OWL ontologies
    • 24
    • PDF
    Representing the NCI Thesaurus in OWL DL: Modeling tools help modeling languages
    • 33
    • PDF
    Modeling a description logic vocabulary for cancer research
    • 115
    • PDF
    The NCI Thesaurus quality assurance life cycle
    • 63
    NCI Thesaurus: Using Science-Based Terminology to Integrate Cancer Research Results
    • 131
    OWL 2: The next step for OWL
    • 845
    • PDF
    Pellet: A practical OWL-DL reasoner
    • 2,796
    • PDF
    The OWL API: A Java API for OWL ontologies
    • 725
    • PDF