Abstract
Here we propose an OWL encoded context ontology (CONON) for modeling context in pervasive computing environments, and for supporting logic-based context reasoning. CONON provides an upper context ontology that captures general concepts about basic context, and also provides extensibility for adding domain-specific ontology in a hierarchical manner. Based on this context ontology, we have studied the use of logic reasoning to check the consistency of context information, and to reason over low-level, explicit context to derive high-level, implicit context. By giving a performance study for our prototype, we quantitatively evaluate the feasibility of logic based context reasoning for nontime-critical applications in pervasive computing environments, where we always have to deal carefully with the limitation of computational resources.
Original language | English |
---|---|
Title of host publication | Proceedings Second IEEE Annual Conference on Pervasive Computing and Communications Workshops |
Subtitle of host publication | PerCom 2004 |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 18-22 |
Number of pages | 5 |
ISBN (Print) | 0769521061 |
DOIs | |
Publication status | Published - 2004 |
Externally published | Yes |
Event | IEEE Annual Conference on Pervasive Computing and Communications Workshops (2nd : 2004) - Orlando, United States Duration: 13 Mar 2004 → 13 Mar 2004 |
Conference
Conference | IEEE Annual Conference on Pervasive Computing and Communications Workshops (2nd : 2004) |
---|---|
Abbreviated title | PerCom 2004 |
Country/Territory | United States |
City | Orlando |
Period | 13/03/04 → 13/03/04 |