Transactions of Nanjing University of Aeronautics & Astronautics
Knowledge Representation and Semantic Inference of Process Based on Ontology and Semantic Web Rule Language
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Abstract:
The process inference cannot be achieved effectively by the traditional expert system, while the ontology and semantic technology could provide better solution to the knowledge acquisition and intelligent inference of expert system. The application mode of ontology and semantic technology on the process parameters recommendation are mainly investigated. Firstly, the content about ontology, semantic web rule language (SWRL) rules and the relative inference engine are introduced. Then, the inference method about process based on ontology technology and the SWRL rule is proposed. The construction method of process ontology base and the writing criterion of SWRL rule are described later. Finally, the results of inference are obtained. The mode raised could offer the reference to the construction of process knowledge base as well as the expert system's reusable process rule library.
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Project Supported:
This study was supported by the National Science Foundation of China (No. 51575264), the Jiangsu Province Science Foundation for Excellent Youths under Grant BK20121011, and the Fundamental Research Funds for the Central Universities (No.NS2015050).
Clc Number:
CHINA AERO-SCIENCES
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