TY  - BOOK
AU  - Wang,Hongwei
AU  - Peng,Gongzhuang
TI  - Collaborative Knowledge Management Through Product Lifecycle: A Computational Perspective 
SN  - 9789811996269
U1  - 670.285 23
PY  - 2023///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Computer-aided engineering
KW  - Engineering design
KW  - Electronic data processing
KW  - Management
KW  - Application software
KW  - Information storage and retrieval systems
KW  - Computer systems
KW  - Computer-Aided Engineering (CAD, CAE) and Design
KW  - Engineering Design
KW  - IT Operations
KW  - Computer and Information Systems Applications
KW  - Information Storage and Retrieval
KW  - Computer System Implementation
N1  - Knowledge management through product lifecycle -- The collaborative knowledge management paradigm -- Knowledge modelling methods -- Advanced knowledge retrieval methods -- Knowledge reuse in collaborative knowledge management -- Discussion
N2  - 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
UR  - https://doi.org/10.1007/978-981-19-9626-9
ER  -