DocumentCode
162707
Title
Generating domain specific ontology for retrieving Hidden Web contents
Author
Manvi ; Dixit, Abhishek ; Bhatia, Komal Kumar ; Wadhwa, Bimlesh
Author_Institution
Dept. of Comput. Eng., YMCA Univ. of Sci. & Technol., Faridabad, India
fYear
2014
fDate
1-2 March 2014
Firstpage
66
Lastpage
71
Abstract
Tremendous information present on the Internet is available only when the user type set of keywords for search for getting the result pages. Those pages are often referred as Hidden Web. The components like hidden Web crawler which wants to retrieve this hidden information has to fill the search interfaces automatically. For automatically filling these types of interfaces precise and relevant information is needed. A database that stores semantic information about objects and their relations may solve this purpose. This database can be defined with the help of Ontology defines common vocabulary. The work presented here mainly focuses on generating domain specific ontology for retrieving hidden Web contents. In this paper a knowledge base of Book domain has created using Protégé. All information stores as knowledge base in form of RDF triples <;subject predicate object>. This Knowledge base may be used in automatically filling up search interfaces for retrieving hidden Web data.
Keywords
Web sites; information retrieval; knowledge based systems; ontologies (artificial intelligence); search engines; Protégé; RDF triples; Web pages; automatic search interface filling; book domain; common vocabulary; domain specific ontology generation; hidden Web content retrieval; hidden Web crawler; hidden information retrieval; knowledge base; semantic information storage; Awards activities; Books; Crawlers; Educational institutions; Knowledge based systems; Ontologies; Resource description framework; book; domain; hidden web; knowledge base; ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Systems and Computer Networks (ISCON), 2014 International Conference on
Conference_Location
Mathura
Print_ISBN
978-1-4799-2980-1
Type
conf
DOI
10.1109/ICISCON.2014.6965220
Filename
6965220
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