摘要： 企业供应链中数据的独立性较差，智能化程度较低。为此，提出一种多知识库整合技术，并将其应用于企业供应链中。通过寻找TBox间的重叠区域，建立概念关联，消除数据冗余性和不一致性，以整合知识库。设计多ABox优化技术及其实现算法，给出服务请求子系统结构、服务接收子系统和知识库整合中心框架。实验结果表明，该技术能减少系统运行时间。

关键词: 供应链, 知识库, 查询算法, 描述逻辑

Abstract: The independence and intelligence of data in enterprise supply chain is low. In order to solve the problem, this paper proposes an application of multiple knowledge base integration technology in enterprise supply chain. Integrating knowledge base methods are divided into finding the overlapping region between TBox, establishing the relevance of conception, and eliminating the redundancy and inconsistency of data. The paper designs multiple ABox optimization technique and its implement algorithm, introduces the service request subsystem, service receiving subsystem and knowledge base integration centre. Experimental results show that the application is effective, and can reduce the running time of system.

Key words: supply chain, knowledge base, query algorithm, Description Logic(DC)

中图分类号: 

• TP311.5