计算机科学 ›› 2020, Vol. 47 ›› Issue (6): 210-218.doi: 10.11896/jsjkx.190700194

• 人工智能 • 上一篇    下一篇

知识驱动的企业间协作参与者动态推荐方法

王铁鑫1,2, 李文心1, 曹静雯1, 杨志斌1,2, 黄志球1,2, 王飞1   

  1. 1 南京航空航天大学计算机科学与技术学院 南京210016
    2 高安全系统的软件开发与验证技术工业和信息化部重点实验室(南京航空航天大学) 南京210016
  • 收稿日期:2019-07-27 出版日期:2020-06-15 发布日期:2020-06-10
  • 通讯作者: 王铁鑫(tiexin.wang@nuaa.edu.cn)
  • 作者简介:南京航空航天大学 南京210016
  • 基金资助:
    国家自然科学基金项目(61872182);工信部重点实验室(NJ2018014)

Knowledge-driven Method Towards Dynamic Partners Recommendation in Inter-enterprise Collaboration

WANG Tie-xin1,2, LI Wen-xin1, CAO Jing-wen1, YANG Zhi-bin1,2, HUANG Zhi-qiu1,2, WANG Fei1   

  1. 1 College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
    2 Key Laboratory of Safety-Critical Software (Nanjing University of Aeronautics and Atronautics),Ministry of Industry and Information Technology,Nanjing 210016,China
  • Received:2019-07-27 Online:2020-06-15 Published:2020-06-10
  • About author:WANG Tie-xin,born in 1987,Ph.D,assistant professor,M.S supervisor.His main research interests include model-driven engineering and collaboration management,etc.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61872182) and Fundamental Research Funds for the Central Universities (NJ2018014).

摘要: 信息技术的飞速发展有力地推动了市场全球化的进程。全球化的经济趋势给中小型企业带来了前所未有的机遇与挑战,孤岛式的企业发展模式已失去了生存空间。为了快速响应多变的市场需求,中小型企业在聚焦核心业务的同时,须与其他企业建立动态的协同合作关系。面向如何高效构建动态协作企业联盟的问题,通过构建相关领域本体并结合使用语义检测技术,提出了一种知识驱动的企业间协作过程中动态推荐最佳参与者的方法。该方法致力于弥补传统企业协作中“合作参与者固定”“合作模式单一”等缺陷,针对特定协作目标与协作偏好,通过多维度的匹配计算,来快速高效地推荐能力、属性相匹配的参与者企业。在理论层面,针对企业建模及企业协同合作管理,归纳总结模型驱动的企业管理相关方向的研究现状;在此基础上,结合企业间协同合作目标的动态变化特点,定义了描述企业间协作上下文的元模型并构建了企业间协作领域本体及结合该领域本体使用的语义检测方法,以提高动态推荐参与者企业的效率。通过可拆卸连接机械制造案例论证了所提推荐方法的有效性,并对其性能进行了评估。

关键词: 领域本体, 企业间协作, 语义检测, 元模型, 知识驱动

Abstract: The rapid development of information technology strongly promotes the process of market globalization.The trend of economic globalization has brought unprecedented opportunities and challenges to small and medium-sized enterprises (SMEs).Enterprises can no longer survive in an isolated-island way.In order to quickly respond to the changing market demand,SMEs need to establish dynamic collaborative relationship with other enterprises while focusing on their core business.To solve the problem of how to construct dynamic collaborative enterprise alliance efficiently,a method of dynamically recommending the best partners in the process of inter-enterprise collaboration is proposed by building domain ontologies and using semantic detection technology.This method aims to break through the defects of traditional enterprise collaboration,such as “fixed cooperative participants” and “single cooperative mode”,and can quickly and efficiently recommend competent participants considering the matching between the specific cooperative goals (& preferences) and capabilities and attributes.By studying enterprise modeling and enterprise collaboration managementand summarizing the research status of model-driven enterprise collaboration construction methods,a meta-model to describe the context of inter-enterprise collaboration is defined.Furthermore,the corresponding domain ontologies and semantics detection methods are proposed to improve the efficiency of dynamic recommendation of partners.Finally,the effectiveness of this recommendation method is demonstrated by a case study of disassembly and connection machine manufacturing and its performance is evaluated.

Key words: Domain ontology, Inter-enterprise collaboration, Knowledge-driven, Meta-model, Semantic checking

中图分类号: 

  • TP311
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