Jones, Matthew and Alani, Harith
Content-based ontology ranking.
In: 9th International Protégé Conference, 23-26 July 2006, Stanford, CA.
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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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