Efficient Indexing of Spatial Query
Vikas Patil1, Madhumati Unde2, Manjusha Jagtap3
1Vikas Patil, Dept. Of Computer, .B.E. (Computer), M.E.(CSE) , Zeal Institute’s Dnyanganga College of Engineering and Research, Narhe ,Pune 41,INDIA ,University of Pune, INDIA.
2Madhumati Unde, Dept. Of Computer , Student, Zeal Institute’s Dnyanganga College of Engineering and Research, Narhe, Pune 41,INDIA,University of Pune, INDIA.
3Manjusha Jagtap, Dept. Of Computer, Student, Zeal Institute’s Dnyanganga College of Engineering and Research, Narhe, Pune 41,INDIA, University of Pune, INDIA.
Manuscript received on October 10, 2013. | Revised Manuscript Received on October 20, 2013. | Manuscript published on October 20, 2013. | PP: 47-50 | Volume-1, Issue-11, October 2013. | Retrieval Number: K03421011113/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In past few years the Geographical Information Retrieval is very active field for research. Due to this research a new type of search engine came into existence called as Geographical Search Engine. Geographical search engine help to retrieve document which more textually and spatially relevant to our query. Indexing structure for spatial relevant is the main goal of this field and also to store and retrieve document having spatial scope of the given query. In this context we give an efficient tree structure called IR-tree, which allows searches to adopt different scope on textual and spatial relevance of document.
Keywords: Geographical Search Engine, Spatial Relevance, IR-Tree.