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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 12, DECEMBER 2016

Ontology Based Information Retrieval System using Multiple Query

M.P. Navale, Rohini Kasar, Sneha Kasbe, Priyanka Shahane

DOI: 10.17148/IJARCCE.2016.51268

Abstract: In traditional information retrieval system searching operation is performed based on the keywords which result in large amount of data due to this, it becomes to difficult to find out essential data from this large data. In order to overcome this drawback of traditional information system the new web architecture known as semantic web was introduced. In this paper we described the ontology based semantic information retrieval and jena semantic web framework. In this system input query entered by the user is parsed by Standford parser after which we apply triplet extraction algorithm in order to retrieve the desired information.



Keywords: Ontology Based Information Retrieval system: Semantic Web, Jena API, SPARQL, Query Processing.

How to Cite:

[1] M.P. Navale, Rohini Kasar, Sneha Kasbe, Priyanka Shahane, “Ontology Based Information Retrieval System using Multiple Query,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.51268