BOnSAI: a smart building ontology for ambient intelligence

  • Authors:
  • Thanos G. Stavropoulos;Dimitris Vrakas;Danai Vlachava;Nick Bassiliades

  • Affiliations:
  • Aristotle University & International Hellenic University, Thessaloniki, Greece;Aristotle University & International Hellenic University, Thessaloniki, Greece;International Hellenic University, Thessaloniki, Greece;Aristotle University & International Hellenic University, Thessaloniki, Greece

  • Venue:
  • Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
  • Year:
  • 2012

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Abstract

This work introduces an ontology for incorporating Ambient Intelligence in Smart Buildings. The ontology extends and benefits from existing ontologies in the field, but also adds classes needed to sufficiently model every aspect of a service-oriented smart building system. Namely, it includes concepts modeling all functionality (i.e. services, operations, inputs, outputs, logic, parameters and environmental conditions), QoS (resources, QoS parameters), hardware (smart devices, sensors and actuators, appliances, servers) users and context (user profiles, moods, location, rooms etc.). The ontology is instantiated and put to use at the Smart Building setting of the International Hellenic University, enabling knowledge representation in machine-interpretable form and hence is expected to enhance service-based intelligent applications.