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Automatic classification using concept knowledge of web documents

Choi, Sang-Ho and Park, Sa-Joon and Hwang, Su-Cheol and Kim, Ki-Tae (2004) Automatic classification using concept knowledge of web documents. In: Knowledge Management International Conference and Exhibition 2004 (KMICE 2004), 14-15 February 2004, Evergreen Laurel Hotel, Penang.

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Abstract

In order to classify web documents, we suggest a method using concept knowledge of category.In our study, the concept relations between keywords are extracted using hyperlink information and after the extracted keywords are classified into each category, these are used as an index.Then TFIDF for each category is extended to determine index weight value.The system is constructed for experimenting and estimating,which is consist of web robot, indexer, concept knowledge database for each category and the document classifier.Our system to be applied the extended TFIDF method shows an accuracy of 88% in automatic classifying of web documents.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 983-2865-90-5 Organized by: Faculty of Information Technology, UUM
Uncontrolled Keywords: Concept Knowledge, Document Classification, TFIDF
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 13 Apr 2015 08:56
Last Modified: 13 Apr 2015 08:56
URI: https://repo.uum.edu.my/id/eprint/13843

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