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2008
IEEE

Keyword Search on Spatial Databases

10 years 11 months ago
Keyword Search on Spatial Databases
Many applications require finding objects closest to a specified location that contains a set of keywords. For example, online yellow pages allow users to specify an address and a set of keywords. In return, the user obtains a list of businesses whose description contains these keywords, ordered by their distance from the specified address. The problems of nearest neighbor search on spatial data and keyword search on text data have been extensively studied separately. However, to the best of our knowledge there is no efficient method to answer spatial keyword queries, that is, queries that specify both a location and a set of keywords. In this work, we present an efficient method to answer top-k spatial keyword queries. To do so, we introduce an indexing structure called IR2 -Tree (Information Retrieval R-Tree) which combines an R-Tree with superimposed text signatures. We present algorithms that construct and maintain an IR2 -Tree, and use it to answer top-k spatial keyword queries. O...
Ian De Felipe, Vagelis Hristidis, Naphtali Rishe
Added 01 Nov 2009
Updated 01 Nov 2009
Type Conference
Year 2008
Where ICDE
Authors Ian De Felipe, Vagelis Hristidis, Naphtali Rishe
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