An ontology-based iot resource model for resources evolution and reverse evolution
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Semantics for the Internet of Things: Early Progress and Back to the Future
International Journal on Semantic Web & Information Systems
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Physical cyber social computing for human experience
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Environmental Modelling & Software
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An abstraction is a representation of an environment derived from sensor observation data. Generating an abstraction requires inferring explanations from an incomplete set of observations (often from the Web) and updating these explanations on the basis of new information. This process must be fast and efficient. The authors' approach overcomes these challenges to systematically derive abstractions from observations. The approach models perception through the integration of an abductive logic framework called Parsimonious Covering Theory with Semantic Web technologies. The authors demonstrate this approach's utility and scalability through use cases in the healthcare and weather domains.