Copyright © 2007 The Institute of Electronics, Information and Communication Engineers
Regular Section -- Letters -- Artificial Intelligence and Cognitive Science |
Web Page Filtering for Domain Ontology with the Context of Concept
1 The authors are with Seoul National University, Yeongeon-dong, Jongro-gu, Seoul, Korea. Corresponding author: Hong-Gee Kim, hgkim{at}snu.ac.kr, E-mail: comeng99{at}snu.ac.kr
| Abstract |
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Despite the importance of domain-specific resource construction for domain ontology development, few studies have sought to develop a method for automatically identifying domain ontology-relevant web pages. To address this situation, here we propose a web page filtering scheme for domain ontology that identifies domain-relevant web pages from the web based on the context of concepts. Testing of the proposed filtering scheme with a business domain ontology on YahooPicks web pages yielded promising filtering results that were superior to those obtained using the baseline system.
Key Words: web page filtering, domain ontology, concept context
Manuscript received November 10, 2006.