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Survey on Framework for Location-Aware Indexing and Query Processing

Author(s):

K.Kausika , Research Scholar, Department of Computer Science, Kaamadhenu Arts and Science College, Sathyamangalam, Tamilnadu, India; M.Sangeetha, Assistant Professor, PG & Research Department of Computer Science, Kaamadhenu Arts and Science College, Sathyamangalam, Tamilnadu, India

Keywords:

Location-Aware, Rank Query, Synopses Tree, LINQ

Abstract

The generic location-aware rank query (GLRQ) over a set of location-aware objects. A GLRQ is composed of a spatial location, a set of keywords, a query predicate, and a ranking function formulated on location, text and other attributes. The result consists of k objects satisfying the predicate ranked according to the ranking function. Some queries cannot be processed efficiently using existing techniques. To handle the predicate and the attribute-based scoring, we devise a new index structure called synopses tree, which contains the synopses of different subsets of the dataset. The synopses tree enables pruning of search space according to the satisfiability of the predicate. To process the query constraints over the location and keywords, the framework integrates the synopses tree with the Spatio-textual index. Conduct extensive experiments to demonstrate the solution provides excellent query performance.

Other Details

Paper ID: IJSRDV3I70223
Published in: Volume : 3, Issue : 7
Publication Date: 01/10/2015
Page(s): 524-527

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