本体演化过程中的实例完备性研究*

摘要

During the ontology evolution, operations on the elements of ontology cause the data instances invalidity and lost. At the same time, the instances in different versions of knowledge base have a large degree of redundancy, and operate poorly in sharing and interoper-ability. This paper designed a data instances storing model focusing on incremental storage and backup, sparing the lost instances to process the data instances of ontology evolution on the request of the completeness of data instances against ontology evolution. In this article, it gives an instruction of the applications of the model and makes a complete description of data instances stored in the backup knowledge base in detail. For the instances stored in the backup knowledge base, the paper proposes instance reusable algorithm based on the semantics of data instances to ensure the credibility of the data reusing.%本体演化过程中，对一些元素的变化操作不仅造成了实例的无效和丢失，同时由演化产生的不同版本的知识库内存储的实例，不仅共享性不够，其互操作性也差。根据这些特点以及对本体演化过程中实例的完备性要求，设计了增量存储与备份的实例数据处理模式，文章对该模式的具体应用和备用实例库中实例数据的完备的描述信息进行了说明，为以后实例数据的复用提供参考。同时，为了保证数据复用的可信度，文章提出了基于数据语义的实例复用算法。