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Istituto di Scienza e Tecnologie dell'Informazione     
Da Silva M. C., CesÓrio Times V., De Macedo J. A., Renso C. SWOT: a conceptual data warehouse model for semantic trajectories. In: DOLAP 2015 - ACM Eighteenth International Workshop on Data Warehousing and OLAP (Melbourne, Australia, 19-23 October 2015). Proceedings, pp. 11 - 14. ACM, 2015.
 
 
Abstract
(English)
The increasing availability of positioning data fostered a number of new applications where the knowledge about mo- bility patterns is essential. However, the research conducted so far on mobility analysis focused on the geometric aspect at the expenses of the semantics of the movement. In this paper, we offer a new vision of semantic trajectory data warehouse that combines the pure geometrical features in terms of temporal and geographical coordinates with more semantic-related contextual information such as the goal of the movement and the transportation means of the moving object, or the activity performed by the moving entity. The conceptual model proposed is called SWOT and is capable of combining these aspects, thus providing a considerable im- provement in answering semantic enriched mobility queries.
URL: http://dl.acm.org/citation.cfm?doid=2811222.2811232
DOI: 10.1145/2811222.2811232
Subject Data warehouse
Semantic trajectories
I.2.1 Applications and Expert Systems


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