Name
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 “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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICSC.2009.87 | ICSC |
Keywords | Field | DocType |
decision support system,semantic-based solution,robust reasoning process,semantic-based rule,ontology-based robust production system,robust production system,chaining reasoning system,robust rules,reasoning process,conventional ps,production system,silicon,ontologies,semantic model,logic reasoning,decision support systems,artificial intelligent,reasoning,use case,data mining,ontology,knowledge based systems,cognition,production systems,robustness | Ontology (information science),Forward chaining,Knowledge representation and reasoning,Computer science,Model-based reasoning,Knowledge-based systems,Robustness (computer science),Artificial intelligence,Opportunistic reasoning,Reasoning system,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frederick Yip | 1 | 0 | 0.34 |
| Alfred K. Y. Wong | 2 | 0 | 0.34 |
| Nandan Parameswaran | 3 | 51 | 12.10 |
| Pradeep Ray | 4 | 123 | 9.12 |