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| Cory Henson, Amit Sheth, Krishnaprasad Thirunarayan, "Semantic Perception: Converting Sensory Observations to Abstractions," IEEE Internet Computing, vol. 16, no. 2, pp. 26-34, March-April, 2012. | |||
| BibTex | x | ||
| @article{ 10.1109/MIC.2012.20, author = {Cory Henson and Amit Sheth and Krishnaprasad Thirunarayan}, title = {Semantic Perception: Converting Sensory Observations to Abstractions}, journal ={IEEE Internet Computing}, volume = {16}, number = {2}, issn = {1089-7801}, year = {2012}, pages = {26-34}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2012.20}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Internet Computing TI - Semantic Perception: Converting Sensory Observations to Abstractions IS - 2 SN - 1089-7801 SP26 EP34 EPD - 26-34 A1 - Cory Henson, A1 - Amit Sheth, A1 - Krishnaprasad Thirunarayan, PY - 2012 KW - abstraction KW - context KW - sensor KW - observation KW - perception KW - abduction KW - Semantic Web KW - OWL VL - 16 JA - IEEE Internet Computing ER - | |||
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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