Semantic Perception: Converting Sensory Observations to Abstractions

TitleSemantic Perception: Converting Sensory Observations to Abstractions
Publication TypeJournal Article
Year of Publication2012
AuthorsCory Henson, Amit Sheth, Krishnaprasad Thirunarayan
Volume16
Issue2
Pagination26-34
Date Published03/2012
PublisherIEEE Internet Computing
Keywordsabduction, Abstraction, context, Health 2.0, mHealth, observation, OWL, Perception, physical cyber social system, Semantic Perception, Semantic Web, Sensor
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.

DOI10.1109/MIC.2012.20
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