The Extension of Persian Search Engine Based on Improving Ontology Learning Process

Document Type : Persian Original Article

Authors

1 Department of Computer Engineering, University of Guilan

2 Department of Electrical Engineering, University of Guilan

Abstract

A search engine is a kind of tool which fulfills users' information needs. Users try to obtain the
desirable objectives adopting different queries in search engines. Some queries are carried out through
inserting effective keywords. If a search engine fairly understands the relation among words, the users
can certainly extract better results. However, understanding these relations and expressing the user's
intention relatively refer to the structure of queries in any language. It is not easy to perform searchs
in a Persian search engine according to the syntactic, pronunciation and spelling rules. In order to
enhance the accuracy of the Persian search engines, the concept of ontology can be used to describe
words and understanding their concepts. This study presented a model for improving the extraction of
semantic relations from Persian language in terms of the performance of search engine and ontology.
In this model, a standard Persian text collection named Bijankhan corpus is used. Persian language
and syntactic patterns obtained from experiments on some texts of this corpus indicated that the
accuracy of the proposed model is about 87%.

Keywords

Journal of Soft Computing and Information Technology
Volume 3, Issue 3 - Serial Number 3
January 2015
Pages 12-29

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