Automated conversion between different knowledge representation formats

摘要

One problem in knowledge based systems is the problem of knowledge sharing. Many systems use proprietary frameworks for storing knowledge, and even those systems that use standard knowledge representation formats have the problem that more than one such format exists. Conceptual Graphs and Resource Description Framework are two general-purpose knowledge representation models. Since they are structurally similar in syntax, concepts, and semantics, converting Conceptual Graph models to Resource Description Framework models without loss of semantic meaning is feasible. In this paper, we introduce a semantic converter which converts knowledge representation in Conceptual Graphs into representation in Resource Description Framework, as an experiment to overcome the barriers in knowledge sharing and reuse due to lack of consensus of knowledge representation formats between these two knowledge representation models.