id: 06095351
dt: a
an: 06095351
au: Li, Wengen; Wang, Weili; Jin, Ting
ti: Evaluating spatial keyword queries under the MapReduce framework.
so: Yu, Hwanjo (ed.) et al., Database systems for advanced applications. 17th
    international conference, DASFAA 2012, international workshops:
    Flashdb, ITEMS, SNSM, SIM, DQDI, Busan, South Korea, April 15‒19,
    2012. Proceedings. Berlin: Springer (ISBN 978-3-642-29022-0/pbk).
    Lecture Notes in Computer Science 7240, 251-261 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: spatial keyword query; MapReduce; Hadoop; HDFS
ci: 
li: doi:10.1007/978-3-642-29023-7_26
ab: Summary: Spatial keyword queries, finding objects closest to a specified
    location that contains a set of keywords, are a kind of pervasive
    operations in spatial databases. In reality, there is some spatial data
    that is not stored in databases, instead in files. And generally this
    kind of spatial data is textual, noisy, large-scale and used now and
    then, which makes it be quite costly to conduct spatial keyword
    querying on such spatial data. To solve this problem, in this paper we
    propose an efficient method by using a distributed system based on
    MapReduce. The algorithm for spatial keyword query evaluation under the
    MapReduce model is developed and implemented. Experimental results
    demonstrate that this method can process spatial keyword queries
    effectively and efficiently.
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