NDLI: Query Processing Techniques for Big Spatial-Keyword Data

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Query Processing Techniques for Big Spatial-Keyword Data

Content Provider	ACM Digital Library
Author	Aref, Walid G. Mahmood, Ahmed
Abstract	The widespread use of GPS-enabled cellular devices, i.e., smart phones, led to the popularity of numerous mobile applications, e.g., social networks, micro-blogs, mobile web search, and crowd-powered reviews. These applications generate large amounts of geo-tagged textual data, i.e., spatial-keyword data. This data needs to be processed and queried at an unprecedented scale. The management of spatial-keyword data at this scale goes beyond the capabilities of centralized systems. We live in the era of big data and the big data model is currently been used to address scalability issues in various application domains. This has led to the development of various big spatial-keyword processing systems. These systems are designed to ingest, store, index, and query huge amounts of spatial-keyword data. In this 1.5 hour tutorial, we explore recent research efforts in the area of big spatial-keyword processing. First, we give main motivations behind big spatial-keyword systems with real-life applications. We describe the main models for big spatial-keyword processing, and list the popular spatial-keyword queries. Then, we present the approaches that have been adopted in big spatial-keyword processing systems with special attention to data indexing and spatial and keyword data partitioning. Finally, we conclude this tutorial with a discussion on some of the open problems and research directions in the area of big spatial-keyword query processing.
Starting Page	1777
Ending Page	1782
Page Count	6
File Format	PDF
ISBN	9781450341974
DOI	10.1145/3035918.3054773
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-05-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Query processing Big data Spatial-keyword Systems Indexing
Content Type	Text
Resource Type	Article

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