UUM Electronic Theses and Dissertation
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Intelligent Information Agent for News Collection

Sasalak, Tongkaw (2002) Intelligent Information Agent for News Collection. Masters thesis, Universiti Utara Malaysia.

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Abstract

In the Information Technology (IT) era we are living, a growing number of information sources are available online. News that is available on the World Wide Web is also increasing. It is often not easy to search for a particular news that one needs. Most of the times, the search engine presents results with to many web pages
to visit and very few, if at all, are relevant to what is actually needs. Therefore, we aim to solve this problem by developing a powerful software agent to gather and
analyze news information. This project focuses in an Intelligent Agent (IA), which is able to gather news information, filter, score and rate according to the keywords entered by news and store it into ontology structure. This IA is specified using the Unified Modeling Language (UML) and written in Java. Protege-2000 was used to create the news ontology structure.

Item Type: Thesis (Masters)
Supervisor : UNSPECIFIED
Item ID: 914
Uncontrolled Keywords: Intelligent Agent, Ontology, Information Gathering
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty and School System > Sekolah Siswazah
Date Deposited: 08 Dec 2009 01:04
Last Modified: 24 Jul 2013 12:09
Department: Graduate School
URI: https://etd.uum.edu.my/id/eprint/914

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