Keyword Search in Spatial Databases: Towards Searching by Document

By Dongxiang Zhang, Y. Chee, Anirban Mondal, Anthony K. H. Tung, Masaru Kitsuregawa. IEEE International Conference on Data Engineering, 2009

345 citations recorded by the source corpus.

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Spatial Keyword Query Processing: An Experimental Evaluation (2013, background): “Other Query Types Zhang et al. [24,25] consider a so-called m - closest keywords query and introduce an R-tree based structure called the bR*-tree.”
Collective spatial keyword querying (2011, background): “Several recently proposed hybrid indexes [5, 8, 10, 14, 15] that tightly integrate spatial indexing (e.”
Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects (2009, methodology): “Another hybrid indexing structure [31] combines the R*-tree and bitmap indexing to process the m-closest keyword query that returns the spatially closest objects matching m keywords.”
Recommendations in location-based social networks: a survey (2015, neutral): “, [17,124,10,84].”