OntoMiner: Bootstrapping and Populating Ontologies from Domain-Specific Web Sites

Authors:
Hasan Davulcu;Srinivas Vadrevu;Saravanakumar Nagarajan;I. V. Ramakrishnan
Affiliations:
Arizona State University;Arizona State University;Arizona State University;State University of New York at Stony Brook
Venue:
IEEE Intelligent Systems
Year:
2003

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Abstract

The Semantic Web espouses a vision of sharing machine understandable content that will drive a variety of automated tasks ranging from information integration to Web services. A key technological component of the Semantic Web is an ontology that encodes the domain knowledge to facilitate automated reasoning with the content. Such ontologies are critical for transforming legacy HTML documents into Semantic Web documents Creating rich and up-to-date ontologies are by and large human intensive. In this paper, we present automated techniques for bootstrapping and populating specialized domain ontologies by organizing and mining a set of relevant Web sites provided by the user. Experimental evaluation with the News and Hotels domain indicates that our algorithms can bootstrap and populate domain specific ontologies with high precision and recall.