Detection of Spatio-Textual Top-K Queries in Location-Based Services Using Reverse Keyword Search
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 9
Abstract
A spatio-textual query retrieves the best objects with respect to a given location and a keyword set. A common solution is to employ a hybrid index which records the digest of the spatial and textual information. To efficiently process the new query, a novel hybrid index Keyword count R-tree (KcR-tree) to store and summarize the spatial and textual information of objects. To further improve the performance, three query optimization techniques, i.e., KcR*-tree, lazy upper-bound updating, and keyword set filtering were used. We also extend reverse keyword search for spatio top-k queries (RST Q) to allow the input location to be a spatial region instead of a point. A recently proposed query retrieves m objects within a minimum diameter that match the given keywords. More recently, a spatial approximate string query that is a range query augmented with a string similarity search predicate has been proposed in. The main focus of this paper is reverse spatio-textual query.
Authors and Affiliations
U. L. Sindhu, F. Femila, J. Sandhiya
Keywords
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