Ontology-based Robust Production System

被引：0

作者：

Yip, Frederick ^{[1
]}

Wong, Alfred K. Y. ^{[1
]}

Parameswaran, Nandan ^{[1
]}

Ray, Pradeep ^{[1
]}

机构：

[1] Univ New S Wales, APuHC, Sydney, NSW, Australia

来源：

2009 IEEE THIRD INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2009) | 2009年

关键词：

production system; ontology; rules; reasoning;

D O I：

10.1109/ICSC.2009.87

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 "production rules" 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.

引用

页码：428 / 433

页数：6

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