Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2254129.2254166 | WIMS |
Keywords | Field | DocType |
service-oriented smart building system,smart building ontology,smart building setting,ambient intelligence,intelligent application,enabling knowledge representation,international hellenic university,qos parameter,smart device,smart buildings,environmental condition,ontologies,input output,knowledge representation,semantic web | Ontology (information science),Ontology,Data mining,Knowledge representation and reasoning,Ambient intelligence,Computer science,Server,Semantic Web,Quality of service,Building automation | Conference |
Citations | PageRank | References |
26 | 1.24 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thanos G. Stavropoulos | 1 | 143 | 18.07 |
| Dimitris Vrakas | 2 | 251 | 23.98 |
| Danai Vlachava | 3 | 26 | 1.24 |
| Nick Bassiliades | 4 | 1016 | 118.22 |