Improving the Performance of Semantic Search by Categorizing the Semantic Web by integrating different Processes for tourism domain

P.Jayaprabha , Dr. N.K.Kuppuchamy , P. J. Shriidhar , Dr. A. SenthilKumar

Ontology, RDF, Relations, Category, Classnames, WordNet, Pattern analysis

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.

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"Improving the Performance of Semantic Search by Categorizing the Semantic Web by integrating different Processes for tourism domain ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 7, page no.50 - 59, July-2016, Available :https://ijsdr.org/papers/IJSDR1607011.pdf

Volume 1 Issue 7, July-2016

Pages : 50 - 59

Paper Reg. ID: IJSDR_160550

Published Paper Id: IJSDR1607011

Downloads: 000346998

Research Area: Engineering

Country: Nammakkal, Tamilnadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1607011

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1607011

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition