CAJ | 학술논문

数据集成的难点是如何解决数据之间的语义异构问题,本文利用本体在语义集成上的优点,提出了一种基于本体语义映射的数据集成框架.根据本体概念的定义及其结构,给出了一种本体语义映射算法,该算法通过属性集合间的比较确定概念语义关系,在计算概念相似度时,考虑了概念名称、概念属性集合和相关概念的语义信息.最后通过概念的属性集映射算法和概念映射算法实现了本体语义映射,从而重点解决了数据集成中的语义映射问题.
수거집성적난점시여하해결수거지간적어의이구문제,본문이용본체재어의집성상적우점,제출료일충기우본체어의영사적수거집성광가.근거본체개념적정의급기결구,급출료일충본체어의영사산법,해산법통과속성집합간적비교학정개념어의관계,재계산개념상사도시,고필료개념명칭、개념속성집합화상관개념적어의신식.최후통과개념적속성집영사산법화개념영사산법실현료본체어의영사,종이중점해결료수거집성중적어의영사문제.
The difficulty of data integration is how to solve the problem of heterogeneous semantics. Using ontology's advantage in semantic integration, this paper designs a data integration frame based on ontology semantic mapping. According to the definition and structure of the ontology concepts, an ontology semantic mapping algorithm is given, which confirms the concepts' semantic relationship by a comparison between attribute sets, and takes the semantic information of concept names, attributes and correlative concepts into account when the similarity degree is computed. Finally, the ontology semantic mapping is determined by the mapping algorithm of the concepts' attribute sets and the concepts' mapping algorithm. Therefore the problem of semantic mapping in data integration is solved properly.