Title :
Ontology-Based Robust Production System
Author :
Yip, Frederick ; Wong, Alfred K Y ; Parameswaran, Nandan ; Ray, Pradeep
Author_Institution :
Asia Pacific Ubiquitous Health Center (APuHC), Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
Production system (PS) is a forward chaining reasoning system that provides the artificial intelligence found useful in information and decision support systems. Conventional PS uses syntactic rules termed ldquoproduction rulesrdquo for logic representation and reasoning. In this paper, we introduce a novel semantic-based Production System called Ontology-based Robust Production System (OntoRPS). OntoRPS is capable of dealing with uncertainties encountered in the reasoning process, adapt and robustly produce approximated results. An automated and robust reasoning process is achieved by leveraging the semantics modeled in Ontologies and semantic-based rules called `Robust Rules´. Ultimately, the application of OntoRPS enables the building of semantic-based solutions for real world use cases.
Keywords :
decision support systems; knowledge based systems; manufacturing systems; ontologies (artificial intelligence); production engineering computing; OntoRPS; automated reasoning process; decision support systems; forward chaining reasoning system; logic reasoning; logic representation; ontology-based system; robust production system; robust reasoning process; semantic-based production system; semantic-based rules; Artificial intelligence; Asia; Humans; Logic; Ontologies; Pervasive computing; Production systems; Robustness; Semantic Web; Uncertainty; ontology; production system; reasoning; rules;
Conference_Titel :
Semantic Computing, 2009. ICSC '09. IEEE International Conference on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-4962-0
Electronic_ISBN :
978-0-7695-3800-6
DOI :
10.1109/ICSC.2009.87