CAJ | 학술논문

知识库是集团企业云制造平台中知识服务的重要基础，知识库的质量直接决定着知识服务的质量。目前单一分散的知识库不能提供统一的知识资源全局视图，不利于知识资源的共享。多知识库整合技术已经成为该领域的研究热点之一。提出一种基于知识库分割的多知识库整合方法，采用基于蚁群聚类的分割策略，将知识库有效划分为知识块集。在知识块间利用语义概念映射生成知识块间映射图，从而实现多知识库整合。通过对算法的时间复杂度进行分析，表明该方法在时间复杂度方面要优于基于最小概念集的多知识库整合方法；实验结果也表明该方法在运行性能方面明显优于已有的方法。
지식고시집단기업운제조평태중지식복무적중요기출，지식고적질량직접결정착지식복무적질량。목전단일분산적지식고불능제공통일적지식자원전국시도，불리우지식자원적공향。다지식고정합기술이경성위해영역적연구열점지일。제출일충기우지식고분할적다지식고정합방법，채용기우의군취류적분할책략，장지식고유효화분위지식괴집。재지식괴간이용어의개념영사생성지식괴간영사도，종이실현다지식고정합。통과대산법적시간복잡도진행분석，표명해방법재시간복잡도방면요우우기우최소개념집적다지식고정합방법；실험결과야표명해방법재운행성능방면명현우우이유적방법。
Knowledge base is an important foundation of knowledge services in the Group’s Enterprise Cloud manufac-turing platform.As a result,the quality of the knowledge base directly determines the quality of knowledge services.Sin-gle dispersed knowledge base cannot provide a unified global view of the knowledge resources,which is not conducive to the sharing of knowledge resources.Multiple knowledge bases integration technology has become one of the focuses.An efficient integration of multiple knowledge bases method based on knowledge blocks is proposed,which divides a knowl-edge base into a set of blocks through an improved ant colony clustering algorithm.Then,the mapping between blocks is based on computing semantic similarity of candidate mapping entity pairs are selected from the block mapping result. Through the algorithm’s time complexity analysis,the time complexity is better than the method of integration based on the minimum set of concepts knowledge base.The results also show that the operating performance of the method is obviously superior to existing methods.