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An ontology-based monitoring system for multi-source environmental observations

Masmoudi, Maroua and Ben Abdallah Lamine, Sana and Zghal Baazaoui, Hajer and Karray, Mohamed Hedi and Archimède, Bernard An ontology-based monitoring system for multi-source environmental observations. (2018) In: 22nd International conference on knowledge based and intelligent information and engineering systems (KES2018), 3 September 2018 - 5 September 2018 (Belgrade, Serbia).

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Official URL: https://www.sciencedirect.com/science/article/pii/S1877050918313541

Abstract

Multi-source observed data are generally characterized by their syntactic, structural and semantic heterogeneities. A key challenge is the semantic interoperability of these data. In this context, we propose an ontology-based system that supports environmental monitoring. Our contributions could be resumed around 1) the construction of an ontology which allows to represent the knowledge and reuse it in a real-world way, 2) the guarantee of the semantic interoperability of ontological modules since the proposed ontology is based on the upper level ontology Basic Formal Ontology (BFO) 3) the modularity of the proposed ontology in order to facilitate its reuse and evolution. The proposed ontology has been implemented and evaluated using quality metrics. We also present a real use case study that demonstrates how the proposed ontology allows implicit knowledge generation.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02112038
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Other partners > Université de la Manouba - UMA (TUNISIA)
Laboratory name:
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Deposited By: Hedi Karray
Deposited On:27 Mar 2019 16:00

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