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dc.contributor.authorCui, Yan
dc.description.abstractIn the information era, large amount of geo-tagged data has given rise to our ability to make more reasonable decisions. The geo-tagged data is usually associated with related text information. For example, tweets tagged with geo-locations on Tweeter, and restaurant reviews tagged with the restaurant locations on Yelp. Users may want to be notified of interesting geo-textual objects. For example, a user may want to be informed when tweets containing term “discount” are posted within 10 km of the user’s home. In this project, we build a system which matches Simplified Boolean Range Continuous queries over streams of incoming geo-textual objects in real time. In particular, we extend the existing BRCQ system and the IQ-tree structure for in-memory indexing and computation, and propose query indexing mechanisms for filtering geo-textual data. In addition, we also propose the algorithm for matching the queries with incoming geo-textual objects based on the index. Moreover, we build a web system to implement the process of submitting queries, matching queries over incoming geo-textual objects, and returning matched results to users.en_US
dc.format.extent53 p.en_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineeringen_US
dc.titleAn efficient query indexing mechanism for filtering geo-textual dataen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisor2Cong Gaoen_US
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