توضیحات
ABSTRACT
Geo-textual data are ubiquitous these days. Recent study on spatial keyword search focused on the processing of queries which retrieve objects that match certain keywords within a spatial region. To ensure effective data retrieval, various extensions were done including the tolerance of errors in keyword matching and the search-as-you-type feature us-ing prex matching. We present MESA, a map application to support dierent variants of spatial keyword query.
INTRODUCTION
With the proliferation of geographical applications, such as Google Earth and Foursquare, geo-textual data are be- coming ubiquitous these days. To retrieve such geo-textual data effectively , recent studies focused on the processing of spatial keyword queries which retrieve data objects that match certain keywords within a spatial region [4]. Further enhancements of spatial keyword search are conducted in two ways. One is to support autocompletion using prex matching [2], which returns data objects that satisfy the prex matching condition within the query region.
Year:2014
Publisher: School of Computing, National University of Singapore, Singapore
School of Engineering&ICT, HITLab AU, University of Tasmainia, Australia
College of Computer Science and Technology, Zhejiang University, China
By: Yuxin Zheng , Zhifeng Bao , Lidan Shou and Anthony K. H. Tung
File information: English Language / 4 Page / Size : 1Mb
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سال:2014
ناشر: School of Computing, National University of Singapore, Singapore
School of Engineering&ICT, HITLab AU, University of Tasmainia, Australia
College of Computer Science and Technology, Zhejiang University, China
کاری از: Yuxin Zheng , Zhifeng Bao , Lidan Shou and Anthony K. H. Tung
اطلاعات فایل: زبان انگلیسی/ 4 صفحه/ حجم 1 مگابایت
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