Abstract
We propose a novel application of clustering analysis to identify regularities in the usage of entities in axioms within an ontology. We argue that such regularities will be able to help to identify parts of the schemas and guidelines upon which ontologies are often built, especially in the absence of explicit documentation. Such analysis can also isolate irregular entities, thus highlighting possible deviations from the initial design. The clusters we obtain can be fully described in terms of generalised axioms that offer a synthetic representation of the detected regularity. In this paper we discuss the results of the application of our analysis to different ontologies and we discuss the potential advantages of incorporating it into future authoring tools. © 2011 Springer-Verlag.
Original language | English |
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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 | Springer Nature |
Pages | 438-453 |
Number of pages | 15 |
Volume | 7031 |
ISBN (Print) | 9783642250729 |
DOIs | |
Publication status | Published - 2011 |
Event | 10th International Semantic Web Conference, ISWC 2011 - Bonn Duration: 1 Jul 2011 → … http://www.cs.man.ac.uk/ stevensr/papers/iswc2011.pdf |
Publication series
Name | Lecture Notes in Computer Science LCNS |
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Conference
Conference | 10th International Semantic Web Conference, ISWC 2011 |
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City | Bonn |
Period | 1/07/11 → … |
Internet address |