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Paper Title: Improving the Performance of Semantic Search by Categorizing the Semantic Web by integrating different Processes for tourism domain
Authors Name: P.Jayaprabha , Dr. N.K.Kuppuchamy , P. J. Shriidhar , Dr. A. SenthilKumar
Unique Id: IJSDR1607011
Published In: Volume 1 Issue 7, July-2016
Abstract: Semantic Web is the dream of the Tim Berner’s Lee who invented World Wide Web. This has been achieved in today’s world to some extent. Now-a-days, most of the web sites are developed based on semantics. The advent of semantic web overcomes the difficulty of the search engine, it provides better result due to the information in the web are structured, machine readable and it is very easy to integrate. Semantic web without categorization provides poor result when compare to semantic web with categorization. In order to improve the performance of search engine, Categorization of semantic web is done. This Semantic web categorization enhances the result of user query. The proposed approach is to categorize the semantic web based on four processes and promoting the efficiency of information retrieval. The processes can extract both the explicit relations extracted directly from the ontologies in a traditional way and the potential relations inferred from existing ontologies by extracting important class names, using WordNet relations and detecting the methods of describing the Web resources. It can achieve a notable improvement in categorizing the valuable Web resources based on incomplete ontologies for a Semantic Web search system.
Keywords: Ontology, RDF, Relations, Category, Classnames, WordNet, Pattern analysis
Cite Article: "Improving the Performance of Semantic Search by Categorizing the Semantic Web by integrating different Processes for tourism domain ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 7, page no.50 - 59, July-2016, Available :http://www.ijsdr.org/papers/IJSDR1607011.pdf
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Publication Details: Published Paper ID: IJSDR1607011
Registration ID:160550
Published In: Volume 1 Issue 7, July-2016
DOI (Digital Object Identifier):
Page No: 50 - 59
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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