Chekima, Khalifa and Anthony, Patricia (2010) Document categorizer agent for computer science academic papers. In: Knowledge Management International Conference 2010 (KMICe2010), 25-27 May 2010, Kuala Terengganu, Malaysia.

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Abstract

This paper presents Document Categorizer Agent that categorizes computer science academic papers in .pdf format such as journals and proceedings.In this paper, we propose the use of set of term stored in a database to categorize computer science papers. Few methods and algorithms from related work are considered in improving the categorization process.We have evaluated our document categorizer agent on a number of computer science papers.The categorization process is done by parsing the document, calculating the frequency of each term and matching the terms found with the dataset found in the database.We have shown that the use of this term database can be used to categorize documents.The categorizer agent focuses on categorizing the text document into predetermined category based on the extracted keyword. This can help in making the searching process more efficient and saves the user’s time in searching for the desired document.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN 978-983-2078-40-1 Organized by: UUM College of Art & Sciences, Universiti Utara Malaysia
Uncontrolled Keywords:	Artificial intelligence, Information retrieval, document categorization, web mining, web classification, Ontology.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	05 Jun 2014 00:27
Last Modified:	05 Jun 2014 00:27
URI:	https://repo.uum.edu.my/id/eprint/11228

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