Ontology Based Context Modeling and Reasoning using OWL (2004) [42 citations — 1 self]
http://www.ececs.uc.edu/~mazlack/ECE.716.w08/Seman
http://www.comp.nus.edu.sg/~gutao/gutao_NUS/CoMoRe
DBLP
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Abstract:
In this paper we propose an OWL encoded context ontology (CONON) for modeling context in pervasive computing environments, and for supporting logicbased 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.
Citations
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| 88 | places, things: Web presence for the real world – Kindberg, Barton |
| 8 | A Middleware for Context-Aware Agents – Ranganathan, Campbell - 2003 |
| 6 | Modeling Context Information – Henricksen - 2002 |
| 6 | OSGi Based Service Infrastructure for Context Aware Connected Homes – Zhang, Wang, et al. - 2003 |
| 1 | eOwl Web Ontology Language ReferenceO – Harmelen - 2002 |
| 1 | et al.“Modeling Context Information – Henricksen - 2002 |

