摘要
SUMO(建议上层共享知识本体)是由IEEE标准上层知识本体工作小组所建置的,其目的是发展标准的上层知识本体,这将促进数据互通性、信息搜寻和检索、自动推理和自然语言处理。基于该共享知识本体,提出了一种计算两概念语义相似度的方法。根据该方法实现了一个计算程序模块,并将计算结果同人类的主观判断进行了比较,验证了该方法的有效性。该研究工作可以在面向W eb的知识检索领域中得到应用,还可以为本体的相关研究提供一定的理论基础。
The Suggested Upper Merged Ontology（SUMO） is an effort by the Standard Upper Ontology Working Group of IEEE. The goal is to develop the Standard Upper Ontology, which will encourage interoperability, information searching, automatic reasoning and natural language processing. A method for computing the semantic similarity of two concepts was proposed and implemented as a computing module. Finally, the results got from the program were compared with the judgments of subjects. Through this experiment, the method is proved valid. The research can be applied in the field of knowledge searching, and it provides a theoretical foundation for the relevant research on ontology.
出处
《计算机应用》
CSCD
北大核心
2006年第1期180-183,共4页
journal of Computer Applications
基金
国家863计划资助项目项目(2002AA135160)
关键词
SUMO
语义距离
语义相似度
主观判断
SUMO
semantic distance
semantic similarity
subjective judgment
