Cited By
View all- Trajcevski GTeng XTaneja S(2017)Spatio-Temporal Evolution of Scientific KnowledgeNew Trends in Databases and Information Systems10.1007/978-3-319-67162-8_20(199-210)Online publication date: 9-Sep-2017
Semantics-Aware Warehousing of Symbolic Trajectories
Authors: 
Goce Trajcevski, Ivana Donevska, Alejandro Vaisman, Besim Avci, Tian Zhang, Di TianAuthors Info & Claims
Goce Trajcevski, Ivana Donevska, Alejandro Vaisman, Besim Avci, Tian Zhang, Di TianAuthors Info & ClaimsPages 1 - 8
Abstract
We address the problem of extending the querying capabilities of Trajectories Data Warehouses (TDW) for symbolic trajectories, by introducing Semantic Relatedness (SR) as part of the formal model. This enables capturing the similarity between different annotations describing Points of Interest (POI), locations and activities. We formally define the inclusion of the relationship between different terms used as descriptors in symbolic trajectories and present the Semantic Relatedness in Trajectories Data Warehouse (SR-TDW) model. We introduce newly enabled queries in the SR-TDW model and illustrate the impacts of the added functionality. Our experiments demonstrate the benefits of the proposed approaches in terms of enriching the answer-sets for the common OLAP-based queries, and the sensitivity in terms of the various measures of semantic similarity.
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Index Terms
- Semantics-Aware Warehousing of Symbolic Trajectories
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November 2015
102 pages
ISBN:9781450339711
DOI:10.1145/2833165
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Published: 03 November 2015
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SIGSPATIAL'15: 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems
November 3 - 6, 2015
WA, Bellevue, USA
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View all- Trajcevski GTeng XTaneja S(2017)Spatio-Temporal Evolution of Scientific KnowledgeNew Trends in Databases and Information Systems10.1007/978-3-319-67162-8_20(199-210)Online publication date: 9-Sep-2017
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