Automatic text processing
AGENTS '97 Proceedings of the first international conference on Autonomous agents
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
Web Agents With A Three-Stage Information Filtering Approach
CW '03 Proceedings of the 2003 International Conference on Cyberworlds
Patterns of semantic relations to improve image content search
Web Semantics: Science, Services and Agents on the World Wide Web
Information Filter for Ambiguous Information Retrieval
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Web management of citizens' complaints and suggestions
CRIWG'06 Proceedings of the 12th international conference on Groupware: design, implementation, and use
Structure based semantic measurement for information filtering agents
AOW '07 Proceedings of the Third Australasian Workshop on Advances in Ontologies - Volume 85
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Whereas search engines assist users in locating initial information sources, often an overwhelmingly large number of ULRs is returned, and the task of browsing websites rests heavily on users. The contribution of this work is developing an information filtering agent (IFA) that assists users in identifying out-of-context web pages and rating the relevance of web pages. An IFA determines the relevance of web pages by adopting three heuristics: (i) detecting evidence phrases (EP) constructed from WORDNET's ontology, (ii) counting the frequencies of EP and (iii) considering the nearness among keywords. Favorable experimental results show that the IFA's ratings of web pages are generally close to human ratings in many instances. The strength and weaknesses of the IFA are also discussed.