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Proceedings Paper

Using ontology for domain specific information retrieval
Author(s): H. L. Shashirekha; S. Murali; P. Nagabhushan
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Paper Abstract

This paper presents a system for retrieving information from a domain specific document collection made up of data rich unnatural language text documents. Instead of conventional keyword based retrieval, our system makes use of domain ontology to retrieve the information from a collection of documents. The system addresses the problem of representing unnatural language text documents and constructing a classifier model that helps in the efficient retrieval of relevant information. Query to this system may be either the key phrases in terms of concepts or a domain specific unnatural language text document. The classifier used in this system can also be used to assign multiple labels to the previously unseen text document belonging to the same domain. An empirical evaluation of the system is conducted on the domain of text documents describing the classified matrimonial advertisements to determine its performance.

Paper Details

Date Published: 26 February 2010
PDF: 7 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75463J (26 February 2010); doi: 10.1117/12.855965
Show Author Affiliations
H. L. Shashirekha, Mangalore Univ. (India)
S. Murali, PES College of Engineering (India)
P. Nagabhushan, Univ. of Mysore (India)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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