Study of Ontology-based Semantic Matching of Model Function System
Hong-mei Zhu, Yongquan Liang, Wenjuan Lian, Qijia Tian, Yong Zhang · 2007
Semantic matching of the function of models is the foundation of implementing models automatic discovery and sharing in models management systems. Method of ontology-based model function's semantic matching system (OMFSMS) is proposed. By this method, distributed stored models are implemented as Web services. Models' functionality and users' requirement are described by OWLS and registered to a model base. Decision ontology is exploited to represent the semantic of the decision models function. Based on the above, ontology-based matching mechanism is proposed, and its functionality and matching algorithm is described. We also argue that to improve the requesting efficiency the idea of precalculation is carried out and the structure of model resource annotation base is analyzed. At last, the conclusion is done of the system.