Semi Automatic Ontology Based Bilingual Information Retrieval System (Pilgrimage Tourism in South India)

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Author(s)

S. Saraswathi 1,* Jemibha P 1 Sugandhi M 1 Mathimozhi M 1 Lourdu Sophia A 1 A. Nagarathinam 2

1. Pondicherry Engineering College, Pondicherry, India

2. Manonmaniam Sundaranar University, Tirunelveli, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2012.03.07

Received: 13 Jun. 2011 / Revised: 6 Oct. 2011 / Accepted: 28 Dec. 2011 / Published: 8 Apr. 2012

Index Terms

Semi automated ontology, Ontology reusability, Ontology overload

Abstract

This paper focuses on the construction of a Semi Automatic Ontological tree in the domain of Pilgrimage Tourism in South India for the purpose of enhancing the efficiency in the online Information Retrieval. The proposed system uses two languages Tamil and English for the input query and document retrieval. The user can pose the query in either Tamil or English and the resultant document will be displayed in the query language. In order to retrieve more relevant documents, a semi-automatic Ontology tree has been constructed. The semi automatic ontological tree uses only the English language. Machine Translation approach is used to translate the retrieved result to the language that of the user’s query. Our system produces the better results for the simple user’s query about Pilgrimage Tourism in South India for which the answers could be retrieved from the updated semi automatic ontological tree itself.

Cite This Paper

S. Saraswathi, Jemibha P, Sugandhi M, Mathimozhi M, Lourdu Sophia A, A. Nagarathinam,"Semi Automatic Ontology Based Bilingual Information Retrieval System (Pilgrimage Tourism in South India)", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.3, pp.48-55, 2012. DOI:10.5815/ijisa.2012.03.07

Reference

[1]Grigoris Antoniou and Frank van Harmelen, A Semantic Web Primer‖, PHI Learning Private Limited, New Delhi, 2010, pp 1-3

[2]M Bung, Treatise on Basic Philosophy. Ontology I. The Furniture of the World. Vol. 3, Boston: Reidel. 

[3]T Gruber, What is an Ontology? (September, 2005): http://www.ksl-stanford.edu/kst/what-is-anontology.html. 

[4]X Yang, Ontologies and How to Build Them 2001. (March, 2006) http://www.ics.uci.edu/~xwy/publications/area-exam.ps. 

[5]D. Bugaite, O. Vasilecas. Ontology-Based Elicitation of Business Rules. In A. G. Nilsson, R. Gustas, W. Wojtkowski, W. G. Wojtkowski, S. Wrycza, J. Zupancic Information Systems Development: Proc. of the ISD‘2004. Springer- Verlag, Sweden, 2006, pp. 795-806.

[6]M. Uschold, M. Healy, K. Williamson, P. Clark, S. Woods, Ontology reuse and application, in: Proceedings of the International Conference on Formal Ontology and Information Systems (FOIS’98), Trento, Italy, 1998, pp. 179–192.

[7]N. Noy, M. Musen, Specifying ontology views by traversal, in: Proceedings of the Third International Semantic Web Conference (ISWC 2004), Hiroshima, Japan, 2004, pp. 713–725.

[8]H. Stuckenschmidt, M. Klein, Structure-based partitioning of large class hierarchies, in: Proceedings of the Third International Semantic Web Conference (ISWC 2004), Hiroshima, Japan, 2004, pp. 289–303.

[9]H. Pinto, J. Martins, Reusing ontologies, in: AAAI Spring Symposium on Bringing Knowledge to Business Processes, 2000, pp. 77–84, Stanford University, California, March 20-22.

[10]Deryle Lonsdale, David W. Embley, Yihong Ding , Li Xu, Martin Hepp, Reusing ontologies and language components for ontology generation, Data & Knowledge Engineering 69 (2010) pp. 318–330

[11]Kaihong Liu , William R. Hogan , Rebecca S. Crowley, Natural Language Processing methods and systems for biomedical ontology learning, Journal of Biomedical Informatics 44 (2011) pp. 163–179

[12]Velardi P, Navigli R, Cucchiarelli A, Neri F. Evaluation of OntoLearn, a methodology for automatic learning of domain ontologies. In: Proceedings of ECAI and EKAW, 2004

[13]Yamaguchi T. Acquiring conceptual relationships from domain-specific texts. In: Proceedings of IJCAI Workshop on Ontology Learning (OL). USA: Seattle; 2001.

[14]Hearst MA, Schutze H, Customizing a lexicon to better suit a computational task. In: Proceedings of the ACL SIGLEX Workshop on Acquisition of Lexical Knowledge from Text, Columbus, OH, 1993

[15]Yuchul Jung, Jihee Ryu, Kyung-min Kim, Sung-Hyon Myaeng, Automatic construction of a large-scale situation ontology by mining how-to instructions from the web, Web Semantics: Science, Services and Agents on the World Wide Web, Volume 8 (2010), pp. 110–124

[16]http://www.ehow.com

[17]http://www.wikihow.com

[18]http://en.wikipedia.org/wiki/XML 

[19]"XML Media Types, RFC 3023". IETF. 2001-01. pp. 9–11. Retrieved 2010-01-04.

[20]Dr. S. Saraswathi, Asma Siddhiqaa. M, Kalaimagal. K, Kalaiyarasi.M, ”BiLingual Information Retrieval System for English and Tamil”, Journal of Computing, Volume 2, Issue 4, April 2010, ISSN 2151‐9617.