OntoMiner: bootstrapping ontologies from overlapping domain specific web sites

Authors:
Hasan Davulcu;Srinivas Vadrevu;Saravanakumar Nagarajan
Affiliations:
Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ
Venue:
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Year:
2004

Citing 3
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Abstract

In this paper, we present automated techniques for bootstrapping and populating specialized domain ontologies by organizing and mining a set of relevant overlapping Web sites provided by the user. We develop algorithms that detect and utilize HTML regularities in the Web documents to turn them into hierarchical semantic structures encoded as XML. Next, we present tree-mining algorithms that identify key domain concepts and their taxonomical relationships. We also extract semi-structured concept instances annotated with their labels whenever they are available. Experimental evaluation for the News, Travel, and Shopping domains indicates that our algorithms can bootstrap and populate domain specific ontologies with high precision and recall.