Matches in SemOpenAlex for { <https://semopenalex.org/work/W1514483896> ?p ?o ?g. }
- W1514483896 abstract "With hundreds of millions of users reporting locations and embracing mobile technologies, Location Based Services (LBSs) are raising new challenges. In this dissertation, we address three emerging problems in location services, where geolocation data plays a central role. First, to handle the unprecedented growth of generated geolocation data, existing location services rely on geospatial database systems. However, their inability to leverage combined geographical and textual information in analytical queries (e.g. spatial similarity joins) remains an open problem. To address this, we introduce SpsJoin, a framework for computing spatial set-similarity joins. SpsJoin handles combined similarity queries that involve textual and spatial constraints simultaneously. LBSs use this system to tackle different types of problems, such as deduplication, geolocation enhancement and record linkage. We define the spatial set-similarity join problem in a general case and propose an algorithm for its efficient computation. Our solution utilizes parallel computing with MapReduce to handle scalability issues in large geospatial databases." @default.
- W1514483896 created "2016-06-24" @default.
- W1514483896 creator A5061783631 @default.
- W1514483896 date "2017-11-13" @default.
- W1514483896 modified "2023-10-16" @default.
- W1514483896 title "Mixed Spatial and Nonspatial Problems in Location Based Services" @default.
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- W1514483896 doi "https://doi.org/10.25148/etd.fi13080907" @default.
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