基于WordNet的关联数据本体映射研究

Ontology Matching in Linked Data Based on WordNet

随着越来越多的数据集以关联数据的形式发布到数据网络中,不同数据集之间的本体映射成为当前的研究热点。本文以WordNet为基础,通过对从数据网络中获取的XML格式的本体文档进行解析以获取待映射概念,并建立待映射概念节点的父概念树和子概念树并计算其相似度,提出了一种新的关联数据本体映射方法。

Along with the publishing of more and more datasets into the Web of Data as linked data, ontology matching becomes one of the hot topics in this area. The authors propose a new method of ontology matching： first to get XML formatted ontology documents from the Web of Data and analyze them so as to get candidate concepts, then to build Father-Concept-Tree and Son-Concept-Tree of the can- didate concepts based on WordNet, at last to compute the similarity and build the relationship between concepts.