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