Layered Ontology Construction Method and the Development of Aided Design Semantic Web for Intelligent Vessel Human Factors Application

Abstract

During the process of vessel Human Factors application, distributed systems are going to generate huge amount of heterogeneous process data. These data should be treated as knowledge to support the automation of the application process. In this paper, a layered ontology construction method (LOC) is developed as well as a bidirectional automatic mapping method. In LOC, logic layer (object property) and data layer (data property) are split and developed separately. In the mapping method, distributed systems' process database are automatically generated according to each data layer ontology's class structure. These help to make automatic engineering knowledge acquisition possible, which highly improve the efficiency of knowledge entry. Based on this, a semantic web platform is developed, and its automatic aided design function is demonstrated by a sample of vessel materials replenishment simulation system.