@prefix dc: .
@prefix this: .
@prefix sub: .
@prefix xsd: .
@prefix prov: .
@prefix pav: .
@prefix np: .
@prefix doco: .
@prefix c4o: .
sub:Head {
this: np:hasAssertion sub:assertion;
np:hasProvenance sub:provenance;
np:hasPublicationInfo sub:pubinfo;
a np:Nanopublication .
}
sub:assertion {
sub:abstract c4o: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/ .";
a doco:Abstract, doco:Paragraph .
}
sub:provenance {
sub:assertion prov:hadPrimarySource ;
prov:wasAttributedTo .
}
sub:pubinfo {
this: dc:created "2019-11-12T12:34:11+01:00"^^xsd:dateTime;
pav:createdBy .
}