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Semantic Perception: Converting Sensory Observations to Abstractions

Title Semantic Perception: Converting Sensory Observations to Abstractions
Author , ,
Book Context-Aware Computing: Beyond Search and Location-Based Services
Publisher IEEE Internet Computing
Editor Pankaj Mehra
Year 2012
Resource Type Journal Article
Keyword(s) Semantic Web,OWL,context,perception,sensor,abstraction,observation,abduction,Semantic Perception,Health 2.0,mHealth,physical cyber social system
Pages 26-34
Full Citation Cory Henson, Amit Sheth, Krishnaprasad Thirunarayan, 'Semantic Perception: Converting Sensory Observations to Abstractions,' IEEE Internet Computing, vol. 16, no. 2, pp. 26-34, Mar./Apr. 2012, doi:10.1109/MIC.2012.20
Abstract 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.
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