基于结构的本体模块化方法

Research on ontology modularization method based on structure

本体模块化是本体融合的关键技术之一.现有的模块化方法有的只考虑了本体中有限的关系的概念、并未考虑其它的逻辑关系;有的对内部概念,涉外概念的定义很难找界定.传统的模块化方法中把所有的谓词看做同一类,忽略了谓语动词对主体的影响差别.为解决以上问题,把本体三元组中的谓词划分为A类谓词和B类谓词,以三元组中的主体以及客体为节点,谓词为边生成本体结构图,然后定义边的权重,将本体模块化问题转换为聚类问题,再结合CH(Calinski Harabasz)聚类评估函数提出了基于本体结构的模块化算法.该方法不但考虑了谓语关系对本体影响的大小,而且把较为模糊的模块化分类转化为明确的聚类问题,更清楚的定义了边界,从而使模块化结果更精确.最后用该方法对Pizza本体划分模块,证明了该算法的有效性和精确性.

Ontology modularization is the key technology of ontology fusion. Some of the existing modular methods only consider the concept of limited relations in ontology, and do not consider other logical relations. Some are difficult to find the definition on internal and foreign concepts.The traditional modular approach regards all predicates as the same class, ignoring the difference in the influence of the predicate verbs on the subject. In this paper, the predicates in the ontology tuple are divided into class A predicates and class B predicates.The sub- ject and object in the triplet are used as nodes and the predicates are used as edges,which generates the ontology structure graph.Then the weights of the edges are defined. The ontology modular problem are transformed into clustering problem, and then combining with the CH （Calinski Harabasz） clustering evaluation function to pro- pose a modular algorithm based on the ontology structure.The method not only takes into account the influence of the predicate relation on ontology, but also transforms the vague modular classification into a clear clustering prob- lem.The boundaries are defined more clearly, making the modular results more accurate. Finally, this method is used to divide the Pizza ontology module, which proves the validity and accuracy of the algorithm.