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Personalized Semantic Search based Intelligent Question Answering System using Semantic Web and Domain Ontology

Published on August 2011 by S.Kalaivani, Dr.K.Duraiswamy
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International Conference on Advanced Computer Technology
Foundation of Computer Science USA
ICACT - Number 3
August 2011
Authors: S.Kalaivani, Dr.K.Duraiswamy
6d2c0e1f-d7c8-4209-9a5e-5f1d232624f8

S.Kalaivani, Dr.K.Duraiswamy . Personalized Semantic Search based Intelligent Question Answering System using Semantic Web and Domain Ontology. International Conference on Advanced Computer Technology. ICACT, 3 (August 2011), 15-17.

@article{
author = { S.Kalaivani, Dr.K.Duraiswamy },
title = { Personalized Semantic Search based Intelligent Question Answering System using Semantic Web and Domain Ontology },
journal = { International Conference on Advanced Computer Technology },
issue_date = { August 2011 },
volume = { ICACT },
number = { 3 },
month = { August },
year = { 2011 },
issn = 0975-8887,
pages = { 15-17 },
numpages = 3,
url = { /proceedings/icact/number3/3242-icact210/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advanced Computer Technology
%A S.Kalaivani
%A Dr.K.Duraiswamy
%T Personalized Semantic Search based Intelligent Question Answering System using Semantic Web and Domain Ontology
%J International Conference on Advanced Computer Technology
%@ 0975-8887
%V ICACT
%N 3
%P 15-17
%D 2011
%I International Journal of Computer Applications
Abstract

This paper proposed the architecture of question answering system for a specific domain using semantic web and ontology. It defines the question answering system using semantic searching methodology and natural language processing techniques. The traversal in ontology is based upon conceptual graph matching type. The repositories are the collection of documents which hold the information related to specific domain. The main aim of this model is to give the question in natural language and the appropriate mechanism is used to retrieve the correct answer for the given question.

References
  1. “Applying natural language processing techniques to domain knowledge capture” Alain Auger, Defence Research and Development Canada-Valcartier.
  2. Z.Y.Feng, W.J.Li, and X.H.Li, Ontology engineering and application, Tsinghua University press, China, 2007
  3. T. R. Gruber, “A Translation Approach to Portable ontology Specifications”, Knowledge Acquisition, Academic Press Ltd, London UK, 1993, pp.199-220.
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  5. N.Guarino, “Semantic Matching: Formal Ontological Distinctions for Information Organization, Extraction, and Integration”, Lecture Notes in Computer Science, Springer- Verlag, London UK, 1997, pp.139-170.
  6. “Web Ontology Language: OWL “ Grigoris Antoniou ,Frank van Harmelen.
  7. “A Comparison of RDF Query Languages” Peter Haase1, Jeen Broekstra2, Andreas Eberhart1, Raphael Volz1
  8. “The Prot´eg´e OWL Plugin: An Open Development Environment for Semantic Web Applications” Holger Knublauch, Ray W. Fergerson, Natalya F. Noy and Mark A. Musen.
  9. “The Semantic Web” Berners-Lee, Tim, Fischetti, Mark and Lassila, Ora, San Francisco: s.n 2001.
  10. J.Zhong, H.Zhu, J.Li, Y.Yu “Conceptual Graph Matching for Semantic Search “
  11. W.Bao, G.Y.Li, “Ontology Storage Technology Research”, Computer Technology and Development, China,2008, pp.146 150.
Index Terms

Computer Science
Information Sciences

Keywords

Natural Language Processing Ontology semantic Web Question Answering system