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Content-based ontology ranking

By Matthew Jones and Harith Alani

Abstract

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

Year: 2006
OAI identifier: oai:oro.open.ac.uk:21191
Provided by: Open Research Online

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