Abstract—On the basis of analysis and review of the existing methods and problems of engineering experience knowledge acquisition, this paper proposes a method for the representation and reasoning of empirical engineering knowledge based on ontology, and a three-level architecture for acquiring knowledge from natural language is proposed, which makes use of unstructured knowledge bases to retrieve knowledge. The types of the attributes of empirical engineering knowledge are marked with the OWL language tags for implementation. The process of applying empirical engineering knowledge reasoning to solve potential problems is introduced.
Index Terms—Empirical engineering knowledge, knowledge reasoning, knowledge representation.
Zuhua Jiang and Geng Li are with the Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China (e-mail: zhjiang@sjtu.edu.cn, reaganli@sjtu.edu.cn). Bo Song is with China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai, China (e-mail: bosong@shmtu.edu.cn).
[PDF]
Cite: Zuhua Jiang, Bo Song, and Geng Li, "Representation and Reasoning of Empirical Engineering Knowledge," International Journal of Knowledge Engineering vol. 5, no. 2, pp. 53-56, 2019.
