BASont - A modular, adaptive building automation system ontology

Context-aware knowledge-based middleware for selective information delivery in data-intensive monitoring systems

“…In order to focus on the application scope and improve the readability of ontology by humans, it is important to carefully consider ontology taxonomies and relationships, which are both: (1) expressive enough to capture information relevant to the application in the knowledge model, and (2) simple and available for further extensions and reuse. According to common engineering principles of ontologies, it is advisable to adopt existing ontological models from different applications in order to ensure their interoperability (GomezPerez et al, 2010;Ploennigst et al, 2012). However, the tools so far developed perform only a few of the specific tasks, such as translation between different languages (Simperl, 2009), calculation of semantic similarity between different concepts (Hadj Taieb et al, 2014) or semantic accuracy of ontologies (Sánchez et al, 2015), in an automatic manner.…”

Sensors, models and platform for ambient control

“…Depending on the classifiers' output the model coordinator selects one component for pre-and post-processing as well as the controller from sections III and IV. The classifiers are based on an ontology model of the installed BAS, called BAS ont (left dark gray box), that refers to a pre-classification of the devices' type [34]. Sensors and actuators are dynamically detected by a middleware [35].…”

Engineering and operation made easy - a semantics and service oriented approach to building automation

“…A novel model-based specification of such services is required. This involves an automated generation of building automation services, which thereby goes beyond existing semantic building automation approaches such as designed in the SCUBA project ( [6], [7]). The services itself need to be enabled to link the devices and controllers of a building utilizing Web of Things technologies based on Internet communication and semantic technologies (e.g., CoAP, JSON, RDF) to enable platform independent discovery and interaction.…”