Query Specific Fusion for Image Retrieval System using Ontology

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends  (IJCOT)          
 
© 2016 by IJCOT Journal
Volume - 6 Issue - 1
Year of Publication : 2016
AuthorsS.Gunanandhini, L.sudha, K.B.Aruna, P.Ruba sudha
  10.14445/22492593/IJCOT-V30P302

MLA

S.Gunanandhini, L.sudha, K.B.Aruna, P.Ruba sudha"Query Specific Fusion for Image Retrieval System using Ontology", International Journal of Computer & organization Trends (IJCOT), V6(1):61-64 Jan - Feb 2016, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract This paper shows the user search results with images. Based on the given query it retrieves the image from huge database, first we give the importance for content concepts and location concepts. And also users locations (positioned by GPS) are used insert the location concepts. For the user preference using ontology but it take into consideration the semantic meaning of each keyword that expected to upgrade the retrieval accuracy. Query results with an image based search sorted by the method of ranking to access more accurate results. We present a detailed architecture and design for implementation of search engine. Here the client collects and stores locally the clickthrough data to protect privacy of the users.

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Keywords-
Ranking, Ontology, Data Mining.