吉林大学计算机科学与技术学院,吉林,长春,130012
纸质出版:2011
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周栩, 刘磊, 范任宏. 基于模式结构分类的本体映射方法[J]. 电子学报, 2011,39(4):882-886.
ZHOU Xu, LIU Lei, FAN Ren-hong. A Method of Ontology Mapping Based on Classifying Schema Structure[J]. Acta Electronica Sinica, 2011, 39(4): 882-886.
本体映射是语义集成的关键技术
本文基于本体的模式结构提出了一种自顶向下的本体映射方法
该方法在考虑四种基本映射关系并假定所有映射关系均为1∶1的情况下
首先将本体描述为图
并将本体中的每个概念都定义为树
在此基础上给出了树中叶节点、非叶节点相似度的计算方法
通过概念分类将子树进一步合并
根据分类的结果重新组织图结构
最后给出了一个完整的本体映射模型.当本体的数目大于2个时
采用概念组分离的方法
即相似的本体在同一组中
不相似的本体在不同的组中
分离直至收敛为止.实验结果表明
这种自顶向下逐层分类的本体映射方法在对大规模结构化本体进行映射发现时可以有效地减少不相关概念之间的计算
在效率和准确度上均取得了理想的效果.
Ontology mapping plays a key role in semantic integration area
a top-down ontology mapping method is proposed by this paper
it considering four basic mapping and this mapping process is assumed that all cases are 1:1.This approach describes the ontology as a graph and each ontology concept defined as a tree
on the basis of the tree
give the similarity computation method of leaf nodes and non-leaf nodes
merge the concept sub-tree by concept classification
According to the results of classification re-organization ontology chart structure.Finally
give a complete ontology mapping model.If the number of ontology is greater than two
concept of group separation method will be used
that is
a similar ontology in the same group
no similar in a different group
the separation date until convergence.Experimental results show that the layer classification ontology mapping method can reduce non-related concepts among count for large scale structure ontology mapping for the efficiency and accuracy it achieve the desired results.
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