Jones, Mathew and Alani, Harith
Content-based Ontology Ranking.
In, 9th International Protege Conference, Stanford, California,
23 - 26 Jul 2006.
Techniques to rank ontologies are crucial to aid and encourage the re-use of publicly available ontologies. This paper presents a system that obtains a list of ontologies from a search engine that contain the terms provided by a knowledge engineer and ranks them. The ranking of these ontologies will be done according to how many of the concept labels in those ontologies match a set of terms extracted from a corpus of documents related to the domain of knowledge identified by the knowledge engineer’s original search terms.
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