摘要
本体学习技术的研究目前还处于探索阶段。研究了知识生产领域中本体学习技术的应用,提出了本体学习中领域本体的分类算法。本算法同时考虑了概念之间的语义相似度与结构相关度,并以"分类量化值"作为领域本体的分类标准。实验证明,本算法较之其它相关算法更为有效。
Ontology learning technology is still in the exploratory stage. The paper researched the ontology learning techniques in the field of knowledge production, and proposed a classification algorithm of ontology. As the algorithm taking into account both the semantic similarity and the structure similarity of the concept, using the "quantitative classification of value" as the classification standards, experiment shows that the algorithm is more effective than other algorithms.
出处
《计算机科学》
CSCD
北大核心
2009年第10期247-249,共3页
Computer Science
基金
上海市教委科研创新基金项目(08YS103)
上海市重点学科项目(S30504)资助
关键词
本体学习技术
领域本体
分类算法
Ontology learning technology, Domain ontologies,Classification algorithm