管理工程学报2011，Vol.25Issue(3)：53-61,9.
基于Ontology的跨组织知识整合方法研究
A Study of Cross-Organizational Knowledge Integration Methods Based on Ontology
摘要
Abstract
The prevalent M&A businees practices call for attentions to the effective management and use of inter-organizational knowledge for organizational learning. Inter-organizational knowledge sharing is more complicated than the traditional intra-organizational knowledge sharing because the former has a higher degree of knowledge inconsistency, misrepresentation, and inconsistency of terminology. The purpose of this paper is to improve the effectiveness of knowledge sharing across organizations by addressing those inconsistency issues.We first standardize definitions for knowledge resided in different organizations, and then integrate knowledge across organizations based on the ontology method. We further use the Semantic Web technology to develop algorithms for closure, query and isomorphism. The proposed knowledge integration process include the following activities: ( 1 ) users input the query conditions, ( 2 ) knowledge center inquires each individual corporation and concludes with a set of knowledge (3 ) knowledge center re-inquires and combines the results, (4) knowledge center computes the closure according to the public ontology, (5) knowledge center computes the closure's standardized isomorphism and provides feedback on representation module, and (6) the representation module organizes the results and shows the readable query result to the user.A prototype system is developed according to closure, query and isomorphism algorithms. A business case of knowledge integration among steel companies is used to show the functions of the system. The case shows that effective knowledge integration processes can produce incremental knowledge. We also conduct two experiments to measure the performance of the prototype system. The time cost increases almost linearly with the increasing scale of the knowledge base. In contrast, the time cost for the results remains stable with the increasing scale of target set. Effective knowledge sharing process can increase knowledge values.Knowledge integration is an important part of knowledge sharing. After standardizing " knowledge integration" definitions, we propose a complete set of mechanisms to integrate knowledge across organizations and use the Semantic Web technology to execute those mechanisms. This study proves the effectiveness and performance of our prototype system.关键词
知识整合/跨组织/Ontology/语义网Key words
knowledge integration/ collaborative commerce/ Ontology/ semantic web technology分类
管理科学引用本文复制引用
张成洪,张杰伟..基于Ontology的跨组织知识整合方法研究[J].管理工程学报,2011,25(3):53-61,9.基金项目
国家自然科学基金资助项目(70871027,70801017) （70871027,70801017）
上海市重点学科建设资助项目(B210) （B210）
