关于本体映射模型和方法进展的研究

The Research of Ontology Mapping Models and Methods

由于目前没有共享本体来描述语义网中数据的语义,因此需要对不同系统之间的本体进行调和,构建本体映射模型。近两年来,研究人员在原有成果的基础上对本体映射进行了更加深入的研究,提出许多新的映射方法,如元模型、语义富集模型、自动映射模型、大规模本体映射模型、快速映射模型与语义资源协同和连接系统。探究这些映射方式和模型的优势与不足的目的在于为今后本体映射方法的研究提供借鉴。

Because there is no shared ontology to describe the semantics of the data in the Semantic Web, we need to reconcile different systems of ontology and build ontology mapping model. Over the past two years, researchers did more in-depth study of the ontology mapping on the basis of the original study, and put forward many new mapping methods, such as OWL, semantic model, automatic mapping model, large-scale ontology mapping model, rapid mapping model, and SRILS. The purpose of studying the advantages and disadvantages of these mapping methods and models is to promote the research of ontology mapping method in future.