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Published in:
2017 | OriginalPaper | Chapter
Searching for Spatio-Temporal-Keyword Patterns in Semantic Trajectories
Authors : Fragkiskos Gryllakis, Nikos Pelekis, Christos Doulkeridis, Stylianos Sideridis, Yannis Theodoridis
Published in: Advances in Intelligent Data Analysis XVI
Publisher: Springer International Publishing
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Abstract
Location-based social network users typically publish information about their location and activity (in the form of keywords) along time, thus providing the mobility data management research community with complex and voluminous data. In this work, we handle this kind of data as sequences in the Spatio-Temporal-Keyword (STK) domain. This modeling is coherent with the concept of semantic trajectories that has recently attracted the interest of this community. Our paper focuses on the efficient processing of pattern queries over the STK domain, hence called Spatio-Temporal-Keyword Pattern (STKP) queries. Our approach is based on efficient index structures that take into account the triple nature of these patterns and is developed in a NoSQL graph database. Through an extensive experimental study over real-life datasets, we demonstrate the effectiveness and efficiency of our proposal.