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Article dans une revue

Ontology for a Panoptes building: exploiting contextual information and smart camera network

Abstract : The contextual information in the built environment is highly heterogeneous, it goes from static information (e.g., information about the building structure) to dynamic information (e.g., user's space-time information, sensors detections and events that occurred). This paper proposes to semantically fuse the building's contextual information with extracted data from a smart camera network by using ontologies and semantic web technologies. The developed ontology allows interoperability between the different contextual data and enables, without human interaction, real-time event detections and system reconfiguration to be performed. The use of semantic knowledge in multi-camera monitoring systems guarantees the protection of the user's privacy by not sending nor saving any image, just extracting the knowledge from them. This paper presents a new approach to develop an "all-seeing" smart building, where the global system is the first step to attempt to provide Artificial Intelligence (AI) to a building.
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02749817
Contributeur : Julien Dubois <>
Soumis le : mercredi 3 juin 2020 - 16:02:41
Dernière modification le : vendredi 17 juillet 2020 - 14:59:05

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Roberto Marroquin, Julien Dubois, Christophe Nicolle. Ontology for a Panoptes building: exploiting contextual information and smart camera network. Open Journal Of Semantic Web, Research Online Publishing (RonPub), 2018, Special issue, 9 (6), pp.803 - 828. ⟨10.3233/SW-180298⟩. ⟨hal-02749817⟩

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