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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Kang, B. Y., & Kim, H. G. (2006). Document filtering for domain ontology based on concept preferences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4185 LNCS, pp. 377–386). Springer Verlag. https://doi.org/10.1007/11836025_38
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