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SWRL-F - A Fuzzy Logic Extension of the Semantic Web Rule Language
Conference Proceeding
Reference:
T. W. Wlodarczyk, C. Rong, M. J. O'Connor, M. A. Musen. International Conference on Web Intelligence, Mining and Semantics (WIMS), Sogndal, Norway, ACM. Published in 2011.
Abstract:

Enhancing Semantic Web technologies with ability to express
uncertainty and imprecision is widely discussed topic. While
SWRL can provide additional expressivity to OWL-based
ontologies, it does not provide any way to handle uncertainty or
imprecision. There is a pressing need to provide a standard-based,
simple and functioning solution. We describe an extension of
SWRL called SWRL-F that we believe can provides such a
solution. SWRL-F is based on SWRL rule language and uses
SWRL’s strong semantic foundation as its formal underpinning.
We extend it with a SWRL-F ontology to enable fuzzy reasoning
in the rule base basing on the fuzzy control systems approach. The
resulting language provides small but powerful set of fuzzy
operations that do not introduce inconsistencies in the host
ontology. We present it basing on the example of risk assessment
in oil and gas industry which was a driving use case for this
project.

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Information last updated: Mon Sep 26 2011
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Stanford School of Medicine