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.
Keywords: BIM, IFC, smart camera network, context-aware system, semantic interoperability, semantic gap, building AI
DOI: 10.3233/SW-180298
Journal: Semantic Web, vol. 9, no. 6, pp. 803-828, 2018
