WWW '05 Proceedings of the 14th international conference on World Wide Web
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Analysing Ontological Structures through Name Pattern Tracking
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Laconic and Precise Justifications in OWL
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Embedding Knowledge Patterns into OWL
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Pattern-based ontology transformation service exploiting OPPL and OWL-API
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Ontology design patterns for semantic web content
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Inspecting regularities and irregularities in SNOMED-CT
Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences
Hi-index | 0.00 |
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.