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RULEML
2005
Springer

Using SWRL and OWL to Capture Domain Knowledge for a Situation Awareness Application Applied to a Supply Logistics Scenario

14 years 3 months ago
Using SWRL and OWL to Capture Domain Knowledge for a Situation Awareness Application Applied to a Supply Logistics Scenario
Abstract. When developing situation awareness applications we begin by constructing an OWL ontology to capture a language of discourse for the domain of interest. Such an ontology, however, is never sufficient for fully representing the complex knowledge needed to identify what is happening in an evolving situation – this usually requires general implication afforded by a rule language such as SWRL. This paper describes the application of SWRL/OWL to the representation of knowledge intended for a supply logistics scenario. The rules are esented in an abstract syntax based on n-ary predicates. We then describe a process to convert them into a representation that complies with the binaryonly properties of SWRL. The application of the SWRL rules is demonstrated using our situation awareness application, SAWA, which can employ either Jess or BaseVISor as its inference engine. We conclude with a summary of the issues encountered in using SWRL along with the steps taken in resolving them.
Christopher J. Matheus, Kenneth Baclawski, Mieczys
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where RULEML
Authors Christopher J. Matheus, Kenneth Baclawski, Mieczyslaw M. Kokar, Jerzy Letkowski
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