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- abstract type Abstract assertion.
- abstract hasContent "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 contextual information with data coming from a smart camera network by using ontologies and semantic web technologies. The ontology developed allows interoperability between the different contextual data and enables, without human interaction, real-time event detections to be performed and system reconfigurations. 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 a "all-seeing" smart building, where the global system is the first step to attempt to provide Artificial Intelligence (AI) to a building. More details of the system and future works can be found at the following website: http://wisenet.checksem.fr/ ." assertion.