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.
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