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Spatio-temporal keyword queries for moving objects

: Mehta, Paras; Skoutas, Dimitrios; Voisard, Agnes


Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Spatial Information -SIGSPATIAL-:
23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems 2015. Proceedings : November 03 - 06, 2015, Seattle, Wash., USA
New York: ACM, 2015
ISBN: 978-1-4503-3967-4
Art. 55, 4 pp.
International Conference on Advances in Geographic Information Systems (GIS) <23, 2015, Seattle/Wash.>
Conference Paper
Fraunhofer FOKUS ()

Many applications involve queries that combine spatial, temporal and textual filters. In this paper, we address the problem of efficient evaluation of queries that perform spatial, temporal and keyword-based filtering on historical movement data of objects which are additionally associated with textual information in the form of keywords. Our work combines and builds upon concepts and techniques for spatio-temporal and spatio-textual queries, proposing two hybrid indexes for this purpose. An experimental evaluation of the proposed approaches is presented, using real-world datasets from two different types of sources.