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Collaborative knowledge management through product lifecyclea computational perspective /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Collaborative knowledge management through product lifecycleby Hongwei Wang, Gongzhuang Peng.
Reminder of title:	a computational perspective /
Author:	Wang, Hongwei.
other author:	Peng, Gongzhuang.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xvi, 283 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Knowledge managementData processing.
Online resource:	https://doi.org/10.1007/978-981-19-9626-9
ISBN:	9789811996269$q(electronic bk.)

Collaborative knowledge management through product lifecyclea computational perspective /
Wang, Hongwei.

Collaborative knowledge management through product lifecyclea computational perspective /[electronic resource] :by Hongwei Wang, Gongzhuang Peng. - Singapore :Springer Nature Singapore :2023. - xvi, 283 p. :ill., digital ;24 cm.

Knowledge management through product lifecycle -- The collaborative knowledge management paradigm -- Knowledge modelling methods -- Advanced knowledge retrieval methods -- Knowledge reuse in collaborative knowledge management -- Discussion.

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.

ISBN: 9789811996269$q(electronic bk.)

Standard No.: 10.1007/978-981-19-9626-9doiSubjects--Topical Terms:

234675
Knowledge management
--Data processing.

LC Class. No.: HD30.2 / .W36 2023

Dewey Class. No.: 658.4038

Collaborative knowledge management through product lifecyclea computational perspective /
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520 $a 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.
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