Universiti Teknologi Malaysia Institutional Repository

Keyphrase extraction for islamic knowledge ontology

Saad, Saidah and Salim, Naomie and Omar, Nazlia (2008) Keyphrase extraction for islamic knowledge ontology. In: Proceedings - International Symposium on Information Technology 2008, ITSim. Institute of Electrical and Electronics Engineers, New York, 1187 -1192. ISBN 978-142442328-6

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Official URL: http://dx.doi.org/10.1109/ITSIM.2008.4631711

Abstract

This paper describes ongoing work on the evaluation methods for extraction keyword and keyphrase candidate in order to develop an ontology for Islamic Knowledge. Keyphrases provide semantic metadata that summarize, characterize documents and topic search. The task of automatic keyword and keyphrase extraction and also known as a collocation extraction is to select keywords or keyphrases from within the text of a given document. Automatic keywords or keyphrase extraction makes it feasible to generate keywords or keyphrases for the huge number of documents that do not have manually assigned them. This paper also describes an algorithm for extracting keyphrases from Islamic Knowledge text as a concept and attribute candidate. It identifies candidate keywords and keyphrases using lexico-syntactic method and statistical method.

Item Type:Book Section
Additional Information:ISBN: 978-142442328-6; International Symposium on Information Technology 2008, ITSim; Kuala Lumpur; 26 August 2008 through 29 August 2008
Uncontrolled Keywords:information technology, information theory, metadata, statistical methods
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:12607
Deposited By: Liza Porijo
Deposited On:14 Jun 2011 05:18
Last Modified:14 Jun 2011 05:18

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