Content and Location Based OWL Search Engine

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Research areas:
Year:
2012
Type of Publication:
Article
Keywords:
Web Ontology Language OWL, Personalization, SpyNB NAIVE BAYESIAN, Ontology based Multi-Facet OMF,WKB World Knowledge Base
Authors:
Sandeep Singh; R. A. Khan
Journal:
IJAIM
Volume:
1
Number:
1
Pages:
37-42
Month:
October
ISSN:
2320-5121
Abstract:
In internet, a wide range of web information increases rapidly, user wants to retrieve the information based upon his preference of using search engines. Our paper is going to propose a new type of search engine for web personalization approach. It will capture the interests and preferences of the user in the form of concepts of mining search results and their click through. Our approach is to improve the search accuracy by means of separating the concepts into content based concepts and location based which plays an important role in global search. Moreover, recognizing the fact that different users and queries may have different emphasis on content and location information, we introduce the content and location based concepts and achieves their respective results. Additionally, search engine also provides the facility of local search by entering keywords without using internet. And feature of integrity of the search engines at one location so that user can work with different search engines in parallel.

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