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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Kang, BY., Kim, HG. (2006). Document Filtering for Domain Ontology Based on Concept Preferences. In: Mizoguchi, R., Shi, Z., Giunchiglia, F. (eds) The Semantic Web – ASWC 2006. ASWC 2006. Lecture Notes in Computer Science, vol 4185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11836025_38
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DOI: https://doi.org/10.1007/11836025_38
Publisher Name: Springer, Berlin, Heidelberg
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