Collaborative Knowledge Management Through Product Lifecycle: A Computational Perspective (產品生命週期中的協作知識管理:計算視角)

Wang, Hongwei, Peng, Gongzhuang

  • 出版商: Springer
  • 出版日期: 2024-03-03
  • 售價: $7,110
  • 貴賓價: 9.5$6,755
  • 語言: 英文
  • 頁數: 283
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9811996288
  • ISBN-13: 9789811996283
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book not only presents the state-of-the-art research on knowledge modelling, knowledge retrieval and knowledge reuse, but also elaborates the Collaborative Knowledge Management (CKM) paradigm and the architecture for the next generation of knowledge management systems. Although knowledge management has been extensively studied, particularly in the fields of business management and engineering design, there is a lack of systematic methodologies for addressing the integrated and collaborative dimension of knowledge management during the collaborative process of designing and developing complex systems, products, processes and services. The rapid development of information technologies, together with their applications in engineering and management, has laid the foundation for a Collaborative Knowledge Management (CKM) paradigm. The book specifically discusses this paradigm from a computational perspective.

By exploring specific research findings underpinning further CKM research and applications and describing methods related to hot research topics and new research areas, the book appeals to professionals, researchers and graduate students who are interested in knowledge management and related topics and who have a basic understanding of information technologies, computational methods, and knowledge management.

商品描述(中文翻譯)

本書不僅呈現了知識建模、知識檢索和知識重用的最新研究成果,還詳細闡述了協作知識管理(Collaborative Knowledge Management, CKM)範式及下一代知識管理系統的架構。儘管知識管理在商業管理和工程設計等領域已被廣泛研究,但在設計和開發複雜系統、產品、流程和服務的協作過程中,卻缺乏系統化的方法論來解決知識管理的整合與協作維度。信息技術的快速發展及其在工程和管理中的應用,為協作知識管理(CKM)範式奠定了基礎。本書特別從計算的角度討論這一範式。

通過探索支撐進一步CKM研究和應用的具體研究成果,並描述與熱門研究主題和新研究領域相關的方法,本書吸引了對知識管理及相關主題感興趣的專業人士、研究人員和研究生,並且他們對信息技術、計算方法和知識管理有基本的理解。

作者簡介

Dr. Hongwei Wang is a tenured full professor with Zhejiang University and the University of Illinois at Urbana-Champaign Joint Institute where he serves as the vice dean in research and academic lead in intelligent manufacturing. He received the B.S. degree in information technology and instrumentation from Zhejiang University, China, in 2004, the M.S. degree in control science and engineering from Tsinghua University, China, in 2007, and completed the Ph.D. degree in engineering design from the University of Cambridge, in 2010. Prio to joining Zhejiang University, he was a Senior Lecturer in engineering design with the University of Portsmouth, the United Kingdom. His research interests include knowledge engineering, industrial knowledge graph, intelligent and collaborative systems, and data-driven fault diagnosis. His research in these areas has been published in over 120 peer-reviewed papers in well-established journals and international conferences. He has delivered two keynotespeeches and has won four best paper awards in international conferences.

Dr. Gongzhuang Peng is an assistant professor with the Engineering Research Institute, University of Science and Technology Beijing. He received the B.S. degree from School of Automation Science and Electrical Engineering, Beihang University, Beijing, China, in 2012, and the Ph.D. degree from the Department of Automation, Tsinghua University, Beijing, China, in 2018. His research interest concerns knowledge management and smart manufacturing. He has published near 40 peer-reviewed papers in international journals and international conferences, and has won two best paper awards in international conferences.


作者簡介(中文翻譯)

王宏偉博士是浙江大學及伊利諾伊大學香檳分校聯合研究所的終身教授,擔任研究副院長及智能製造的學術負責人。他於2004年在中國浙江大學獲得資訊技術與儀器的學士學位,2007年在中國清華大學獲得控制科學與工程的碩士學位,並於2010年在劍橋大學完成工程設計的博士學位。在加入浙江大學之前,他曾擔任英國朴茨茅斯大學的工程設計高級講師。他的研究興趣包括知識工程、工業知識圖譜、智能與協作系統,以及數據驅動的故障診斷。他在這些領域的研究已發表於120多篇經過同行評審的論文,並在知名期刊和國際會議上發表。他曾發表兩場主題演講,並在國際會議中獲得四項最佳論文獎。

彭公莊博士是北京科技大學工程研究院的助理教授。他於2012年在中國北京的北京航空航天大學自動化科學與電氣工程學院獲得學士學位,並於2018年在中國北京的清華大學自動化系獲得博士學位。他的研究興趣涉及知識管理和智能製造。他在國際期刊和國際會議上發表了近40篇經過同行評審的論文,並在國際會議中獲得兩項最佳論文獎。