DocumentCode :
3458890
Title :
Extracting specific categories of text documents using ontology
Author :
Hajiabadi, Hamideh ; Hajiabadi, Moin ; Tabaraie, Amir H.
Author_Institution :
Birjand Univ. of Technol., Birjand, Iran
fYear :
2011
fDate :
4-7 Dec. 2011
Firstpage :
489
Lastpage :
491
Abstract :
Extracting category of web application is important in sharing and organizing information and also is valuable in some search engines. There are numerous resources available on the web that are needed to be categorized efficiently for more practices. But the number of tools which automatically extract the categories of web applications are limited. This paper proposes a novel technique to automatically extract categories of web applications using ontology, then a case study is developed and the results are explained.
Keywords :
information retrieval; ontologies (artificial intelligence); text analysis; Web application category extraction; information organization; information sharing; ontology; search engines; text document category extraction; Data mining; Electronic publishing; Encyclopedias; Internet; Ontologies; Search engines; key phrase; key phrase extraction; ontology; text document;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Applications and Industrial Electronics (ICCAIE), 2011 IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-2058-1
Type :
conf
DOI :
10.1109/ICCAIE.2011.6162184
Filename :
6162184
Link To Document :
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