DocumentCode :
2923020
Title :
Keyphrase extraction for Islamic Knowledge ontology
Author :
Saad, Saidah ; Salim, Naomie ; Omar, Nazlia
Author_Institution :
Department of Information System, Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
Volume :
2
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
1
Lastpage :
6
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.
Keywords :
Computer science; Data mining; Electronic mail; Frequency; Information science; Machine learning; Ontologies; Statistical analysis; Vocabulary; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
Type :
conf
DOI :
10.1109/ITSIM.2008.4631711
Filename :
4631711
Link To Document :
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