Detection of Spatio-Textual Top-K Queries in Location-Based Services Using Reverse Keyword Search

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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  • EP ID EP22618
  • DOI -
  • Views 248
  • Downloads 4

How To Cite

U. L. Sindhu, F. Femila, J. Sandhiya (2016). Detection of Spatio-Textual Top-K Queries in Location-Based Services Using Reverse Keyword Search. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(9), -. https://europub.co.uk/articles/-A-22618