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

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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.


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


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


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