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Specification of Semantic Trajectories Supporting Data Transformations for Analytics

The datAcron Ontology
 
: Santipantakis, G.M.; Vouros, G.A.; Doulkeridis, C.; Vlachou, A.; Andrienko, G.; Andrienko, N.; Fuchs, G.; Garcia, J.M.C.; Martinez, M.G.

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Association for Computing Machinery -ACM-:
Semantics 2017, 13th International Conference on Semantic Systems. Proceedings : Amsterdam, Netherlands, September 11 - 14, 2017
New York: ACM, 2017
ISBN: 978-1-4503-5296-3
S.17-24
International Conference on Semantic Systems (Semantics) <13, 2017, Amsterdam>
Englisch
Konferenzbeitrag
Fraunhofer IAIS ()

Abstract
Motivated by real-life emerging needs in critical domains, this paper proposes a coherent and generic ontology for the representation of semantic trajectories, in association to related events and contextual information, to support analytics. The main contribution of the proposed ontology is twofold: (a) The representation of semantic trajectories at varying, interlinked levels of spatio-Temporal analysis, (b) enabling data transformations that can support analytics tasks. The paper presents the ontology in detail, in connection to other well-known ontologies, and demonstrates how data is represented at varying levels of analysis, enabling the required data transformations. The benefits of the representation are shown in the context of supporting visual analytics tasks in the air-Traffic management domain.

: http://publica.fraunhofer.de/dokumente/N-502592.html