Applying Knowledge Engineering and Ontology Engineering to construct a Knowledge Base for Early Warning and Proactive Control

摘要

Early Warning and Proactive Control systems intend to help managers predict and prevent problems in Food Supply Chain Networks. Since those problems are of various types and have broad scopes, an easy-to-access and easy-to-extend Knowledge Base is needed. This paper presents a structure for such Knowledge Base. The structure is designed with combined techniques from Ontology Engineering and Knowledge Engineering. It contains an ontology and a rule base with inference mechanism. A prototype system, filled with information from case studies, shows that the designed structure supports consulting the Knowledge Base on relevant knowledge for encountered problems, and extending the Knowledge Base with obtained novel knowledge.