2016IJARCCEOpen access

Ontology Based Information Retrieval System using Multiple Query

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

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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.

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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.

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Available 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.

Key concepts: Information retrieval, Computer science, Ontology, Query expansion, Query language, Query optimization, Epistemology, Philosophy

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