Ontology-based models in pervasive computing systems

JUAN YE; LORCAN COYLE; SIMON DOBSON; PADDY NIXON; JUAN YE; LORCAN COYLE; SIMON DOBSON; PADDY NIXON

doi:10.1017/S0269888907001208

2007 Volume 22

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Ontology-based models in pervasive computing systems

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Published online: 01 December 2007
The Knowledge Engineering Review 22, Article number: 10.1017/S0269888907001208 (2007) | Cite this article

Abstract

Abstract: Pervasive computing is by its nature open and extensible, and must integrate the information from a diverse range of sources. This leads to a problem of information exchange, so sub-systems must agree on shared representations. Ontologies potentially provide a well-founded mechanism for the representation and exchange of such structured information. A number of ontologies have been developed specifically for use in pervasive computing, none of which appears to cover adequately the space of concerns applicable to application designers. We compare and contrast the most popular ontologies, evaluating them against the system challenges generally recognized within the pervasive computing community. We identify a number of deficiencies that must be addressed in order to apply the ontological techniques successfully to next-generation pervasive systems.
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JUAN YE, LORCAN COYLE, SIMON DOBSON, PADDY NIXON. 2007. Ontology-based models in pervasive computing systems. The Knowledge Engineering Review. 22:8 doi: 10.1017/S0269888907001208

JUAN YE, LORCAN COYLE, SIMON DOBSON, PADDY NIXON. 2007. Ontology-based models in pervasive computing systems. The Knowledge Engineering Review. 22:8 doi: 10.1017/S0269888907001208

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Ontology-based models in pervasive computing systems

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