基于遗传算法的本体映射技术

由于语义网分散的本质,同一个概念在不同的本体中可能有不同的定义方式,这就引起了所谓的本体异质的问题.本体异质问题严重地影响领域知识之间的共享,已经成为语义网应用系统间的交互与协作的瓶颈.目前用于发现本体中实体间的语义对应关系的本体映射技术成为语义网发展的关键技术.鉴于本体映射过程复杂的本质,文章为本体映射过程建立了单目标优化模型,并提出采用遗传算法来确定不同本体中实体间的对应关系.实验结果表明,所提出的方法是有效的.

Ontology aligning technology based on genetic algorithm

Due to the decentralized nature of the semantic web, the same concept may be defined in different ways in various ontologies, which is also known as the ontology heterogeneity problem. This problem prevents the domain knowledge from sharing, and becomes the bottleneck of the interaction and cooperation between various application systems in semantic web. Therefore, ontology aligning technology which is used for determining the correspondences between ontology entities has become crucial to the development of semantic web. In consideration of the complex essence of ontology alig- ning process, a single objective optimization model is proposed, and genetic algorithm is utilized for solving the problem. The experimental results show that the proposed approach is effective.