Processing Spatial-Keyword (SK) Queries in Geographic Information Retrieval (GIR) Systems

By Ramaswamy Hariharan, Bijit Hore, Sharad Mehrotra. 19th International Conference on Scientific and Statistical Database Management (SSDBM 2007), 2007

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Spatial Keyword Query Processing: An Experimental Evaluation (2013, methodology): “Inverted ﬁle Most geo-textual indices [6,7,10,12,14,16,18,19,26] use the inverted ﬁle for text indexing.”
Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects (2009, background): “[14] address the problem of finding objects containing query keywords within a region.”
IR-Tree: An Efficient Index for Geographic Document Search (2011, methodology): “In this paper, we propose an efficient index, calledIR-tree, that together with a top-k document search algorithm facilitates four major tasks in document searches, namely, spatial filtering, textual filtering, relevance computation and document ranking in a fully integrated manner.”
A Survey on Trajectory Data Management, Analytics, and Learning (2020, methodology): “[78] utilized the Boolean range queries to find all objects containing query keywords, all of which must be located within a bounded range.”