中文摘要：

针对现实本体中缺乏双向标注的个体而导致的基于个体的本体匹配技术难以得到广泛应用这一问题,提出一种采用双向个体标注的本体匹配技术.该技术通过进化算法实现本体间自动化个体双向标注和概念匹配的过程.实验采用OAEI 2012的测试数据集,结果表明所提出的方法是有效的.

英文摘要：

Since individuals can better represent the real semantics of the concept they belong to, individual based ontology matching technology is able to improve the precision of the ontology align- ment. However, in the real scenarios, the lack of the dually annotated individuals seriously limits the application of the individual based ontology matching technology. To overcome this shortcoming, in this paper, an ontology matching technology using dually individual annotation is proposed. In particular, our proposal utilizes the evolutionary algorithm （EA） to implement the process of automatic dually individual annotation and concept matching. The experiment uses the OAEI 2012 benchmarks, and the results show the effectiveness of our proposal.