Document filtering for domain ontology based on concept preferences

Authors:
Bo-Yeong Kang;Hong-Gee Kim
Affiliations:
Biomedical Knowledge Engineering Laboratory, Dentistry College, Seoul National University, Seoul, Korea;Biomedical Knowledge Engineering Laboratory, Dentistry College, Seoul National University, Seoul, Korea
Venue:
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Year:
2006

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Abstract

For domain ontology construction and expansion, data-driven approaches based on web resources have been actively investigated Despite the importance of document filtering for domain ontology management, however, few studies have sought to develop a method for automatically filtering out domain-relevant documents from the web To address this situation, here we propose a document filtering scheme that identifies documents relevant to a domain ontology based on concept preferences Testing of the proposed filtering scheme with a business domain ontology on 1,409 YahooPicks web pages yielded promising filtering results that outperformed the baseline system.