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Towards the Integration of Trajectory Information Sources for Semantic Conflicts Detection Purpose: A Trajectory Ontology Based Approach

Towards the Integration of Trajectory Information Sources for Semantic Conflicts Detection Purpose: A Trajectory Ontology Based Approach

Marwa Manaa, Akaichi Jalel
Copyright: © 2017 |Pages: 32
ISBN13: 9781522509370|ISBN10: 1522509372|EISBN13: 9781522509387
DOI: 10.4018/978-1-5225-0937-0.ch020
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MLA

Manaa, Marwa, and Akaichi Jalel. "Towards the Integration of Trajectory Information Sources for Semantic Conflicts Detection Purpose: A Trajectory Ontology Based Approach." Handbook of Research on Geographic Information Systems Applications and Advancements, edited by Sami Faiz and Khaoula Mahmoudi, IGI Global, 2017, pp. 488-519. https://doi.org/10.4018/978-1-5225-0937-0.ch020

APA

Manaa, M. & Jalel, A. (2017). Towards the Integration of Trajectory Information Sources for Semantic Conflicts Detection Purpose: A Trajectory Ontology Based Approach. In S. Faiz & K. Mahmoudi (Eds.), Handbook of Research on Geographic Information Systems Applications and Advancements (pp. 488-519). IGI Global. https://doi.org/10.4018/978-1-5225-0937-0.ch020

Chicago

Manaa, Marwa, and Akaichi Jalel. "Towards the Integration of Trajectory Information Sources for Semantic Conflicts Detection Purpose: A Trajectory Ontology Based Approach." In Handbook of Research on Geographic Information Systems Applications and Advancements, edited by Sami Faiz and Khaoula Mahmoudi, 488-519. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0937-0.ch020

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Abstract

The advance of remote sensors and positioning technologies is leading to the eruption of disparate mobility data. For a long while, location sensing devices became released. As a result, different structures of mobility data sources may reveal the details of instantaneous behaviors performed by mobile entities. Collected mobility information forms the need of behavior modeling to understanding behaviors from cognitive and analytics perspectives. Each designer may use a different formalism and representation by using either “conceptual modeling” or “ontology”. The phenomenon of adopting ontologies by organizations creates a new type of data called semantic data handled by semantic databases. The diversity of these formalisms highly increases the structural and semantic heterogeneities and consequently increases the complexity of integration tasks. In this chapter, authors propose a semantic and scalable approach that unifies formalisms and representations by the means of ontologies. This approach is supported by a case study.

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