Knowledge Engineering - The Process Paradigm

This book shows how to develop process-oriented methodologies, and presents a wide range of quantitative methods applied to various knowledge engineering problems.

List of contents

1. Knowledge and Global Learning. 2. Knowledge Processes, Intensity and Innovation. 3. Knowledge with Innovation Performance. 4. Knowledge and Innovation in Networked Environments. 5. Knowledge and Organizational Business Loss. 6. Knowledge Sharing Using Semantic Web. 7. Knowledge Sharing and Tax Payment. 8. Knowledge Sharing for Enterprise Resources. 9. Knowledge Sharing and Organizational Culture. 10. Knowledge Sharing and Learning Capability.

About the author

Hamed Fazlollahtabar earned a BSc and an MSc in Industrial Engineering from Mazandaran University of Science and Technology, Iran, in 2008 and 2010, respectively. He received his PhD in Industrial and Systems Engineering from Iran University of Science and Technology in 2015 and completed a postdoctoral research fellowship at Sharif University of Technology, Iran, in the area of reliability engineering for complex systems in 2017. He currently works in the Department of Industrial Engineering at Damghan University, Iran, and is on the editorial boards of several journals and on the technical committees of several conferences. His research interests are business intelligence and analytics, advanced robotic production systems, reliability engineering, and supply chain planning. He has published more than 280 research papers and eight books.

Summary

This book shows how to develop process-oriented methodologies, and presents a wide range of quantitative methods applied to various knowledge engineering problems.

Product details

• Authors: Hamed Fazlollahtabar, Fazlollahtabar Hamed
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 10.11.2020
• EAN: 9780367517366
• ISBN: 978-0-367-51736-6
• No. of pages: 126
• Subjects: Natural sciences, medicine, IT, technology > Technology > Mechanical engineering, production engineering; Product Design, Knowledge Management, TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Manufacturing, BUSINESS & ECONOMICS / Industrial Management, Mathematics, TECHNOLOGY & ENGINEERING / Industrial Technology, Numerical analysis, Operational research, Engineering: general, Production & quality control management, Hydraulic Engineering, Production and quality control management