Ontology Based Search Engine

Vasantha Kavitha, Dr. M. Hanumanthappa, Dr. B R Prakash

Abstract An ontology based search engine helps in identifying the most efficient and useful result for the input query. The result produced by the ontology based search engines are purely based on the literal meaning of the word in the given sentence. It does not take the keyword in the given sentence; instead it takes the meaning of the query submitted. The presence of huge amount of resources on the Web thus poses a serious problem of accurate search. This is mainly because todayâ€™s Web is a human-readable Web where information cannot be easily processed by machine. Highly sophisticated, efficient keyword based search engines that have evolved today have not been able to bridge this gap. There are many kind of techniques followed in implementing the ontology based search engines. Here, in this paper we identify the some of the techniques to be used in developing the search engine. All of the techniques are different from one other and that the efficiency is also different. These techniques form a special pattern of accuracy and they are disused in the paper. The difference in the working of the keyword based search engines and the ontology based search engines are shown with examples. Also the ontology based search engine that is build up using the fuzzy logic ontology is considered here. An ontology based search engine that is developed in many steps with the help of multi crawlers is also taken into consideration. Key words: search engines, Ontology, Information retrieval, fuzzy logic, crawler, Semantic .

Title:	Ontology Based Search Engine
Author Name:	Vasantha Kavitha, Dr. M. Hanumanthappa, Dr. B R Prakash
Abstract:	Abstract An ontology based search engine helps in identifying the most efficient and useful result for the input query. The result produced by the ontology based search engines are purely based on the literal meaning of the word in the given sentence. It does not take the keyword in the given sentence; instead it takes the meaning of the query submitted. The presence of huge amount of resources on the Web thus poses a serious problem of accurate search. This is mainly because todayâ€™s Web is a human-readable Web where information cannot be easily processed by machine. Highly sophisticated, efficient keyword based search engines that have evolved today have not been able to bridge this gap. There are many kind of techniques followed in implementing the ontology based search engines. Here, in this paper we identify the some of the techniques to be used in developing the search engine. All of the techniques are different from one other and that the efficiency is also different. These techniques form a special pattern of accuracy and they are disused in the paper. The difference in the working of the keyword based search engines and the ontology based search engines are shown with examples. Also the ontology based search engine that is build up using the fuzzy logic ontology is considered here. An ontology based search engine that is developed in many steps with the help of multi crawlers is also taken into consideration. Key words: search engines, Ontology, Information retrieval, fuzzy logic, crawler, Semantic .
Cite this article:	Vasantha Kavitha, Dr. M. Hanumanthappa, Dr. B R Prakash , " Ontology Based Search Engine " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 4, Issue 5(2), September - October 2015 , pp. 094-098 , ISSN 2278-6856.
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