Artificial Intelligence for Knowledge Management

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Publisher : Springer Nature
ISBN 13 : 3030808475
Total Pages : 262 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Artificial Intelligence for Knowledge Management by : Eunika Mercier-Laurent

Download or read book Artificial Intelligence for Knowledge Management written by Eunika Mercier-Laurent and published by Springer Nature. This book was released on 2021-07-03 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a selection of extended papers presented at the 8th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, held in Yokohama, Japan, in January 2021, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2020.* The 14 revised and extended papers presented together with an invited talk were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and discuss methodological, technical and organizational aspects of artificial intelligence used for knowledge management. *The workshop was held virtually.

Secure Knowledge Management In Artificial Intelligence Era

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Publisher : Springer Nature
ISBN 13 : 9811538174
Total Pages : 203 pages
Book Rating : 4.79/5 ( download)

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Book Synopsis Secure Knowledge Management In Artificial Intelligence Era by : Sanjay K. Sahay

Download or read book Secure Knowledge Management In Artificial Intelligence Era written by Sanjay K. Sahay and published by Springer Nature. This book was released on 2020-03-05 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference On Secure Knowledge Management In Artificial Intelligence Era, SKM 2019, held in Goa, India, in December 2019. The 12 full papers presented were carefully reviewed and selected from 34 submissions. They were organized according to the following topical sections: cyber security; security and artifcial intelligence; access control models; and social networks.

Artificial Intelligence and Knowledge Management

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Publisher :
ISBN 13 : 9781682851821
Total Pages : 0 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Artificial Intelligence and Knowledge Management by : Akira Hanako

Download or read book Artificial Intelligence and Knowledge Management written by Akira Hanako and published by . This book was released on 2016-05-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence and knowledge management have transformed the process of knowledge circulation and database management in different business enterprises and corporate organizations. Some of the significant topics discussed in the chapters of this book are AI planning strategies and tools, AI tools for information processing, data mining, knowledge-based systems, etc. It explores the innovative concepts and advancements in these emerging fields. The book is an invaluable source of knowledge for students and researchers involved in this field at various levels.

AI-empowered Knowledge Management

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Publisher : Springer Nature
ISBN 13 : 9811903166
Total Pages : 126 pages
Book Rating : 4.68/5 ( download)

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Book Synopsis AI-empowered Knowledge Management by : Soumi Majumder

Download or read book AI-empowered Knowledge Management written by Soumi Majumder and published by Springer Nature. This book was released on 2022-02-23 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on AI-empowered knowledge management to improve processes, implementation of technology for providing easy access to knowledge and the impact of knowledge management to promote the platform for generation of new knowledge through continuous learning. The book discusses process of knowledge management which includes entirety of the creation, distribution, and maintenance of knowledge to achieve organizational objectives. It also covers knowledge management tools which enable and enhance knowledge creation, codification, and transfer within business firms thereby reducing the burden of work and allowing application of resources and effective usage towards practical tasks. An immense growth of artificial intelligence in business organizations has occurred and AI-empowered knowledge management practice is leading towards growth and development of the organization.

Secure Knowledge Management In The Artificial Intelligence Era

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Publisher : Springer Nature
ISBN 13 : 3030975320
Total Pages : 212 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Secure Knowledge Management In The Artificial Intelligence Era by : Ram Krishnan

Download or read book Secure Knowledge Management In The Artificial Intelligence Era written by Ram Krishnan and published by Springer Nature. This book was released on 2022-02-22 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference On Secure Knowledge Management In Artificial Intelligence Era, SKM 2021, held in San Antonio, TX, USA, in 2021. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 30 submissions. They were organized according to the following topical sections: ​intrusion and malware detection; secure knowledge management; deep learning for security; web and social network.

On Knowledge Base Management Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1461249805
Total Pages : 650 pages
Book Rating : 4.01/5 ( download)

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Book Synopsis On Knowledge Base Management Systems by : Michael L. Brodie

Download or read book On Knowledge Base Management Systems written by Michael L. Brodie and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech nology that will enable operational large-scale knowledge-based system applications.

Artificial Intelligence for Knowledge Management

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Publisher : Springer Nature
ISBN 13 : 303029904X
Total Pages : 147 pages
Book Rating : 4.40/5 ( download)

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Book Synopsis Artificial Intelligence for Knowledge Management by : Eunika Mercier-Laurent

Download or read book Artificial Intelligence for Knowledge Management written by Eunika Mercier-Laurent and published by Springer Nature. This book was released on 2019-09-11 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a selection of extended papers presented at the 5th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2017, held in Melbourne, VIC, Australia, in August 2017, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2017. The 11 revised and extended papers were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.

Intelligent Systems for Knowledge Management

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Publisher : Springer Science & Business Media
ISBN 13 : 3642041698
Total Pages : 336 pages
Book Rating : 4.93/5 ( download)

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Book Synopsis Intelligent Systems for Knowledge Management by : Edward Szczerbicki

Download or read book Intelligent Systems for Knowledge Management written by Edward Szczerbicki and published by Springer Science & Business Media. This book was released on 2009-09-30 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.

Artificial Intelligence for Knowledge Management

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Publisher : Springer Nature
ISBN 13 : 3030529037
Total Pages : 166 pages
Book Rating : 4.31/5 ( download)

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Book Synopsis Artificial Intelligence for Knowledge Management by : Eunika Mercier-Laurent

Download or read book Artificial Intelligence for Knowledge Management written by Eunika Mercier-Laurent and published by Springer Nature. This book was released on 2020-07-15 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a selection of extended papers presented at the 6th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2018, held in Stockholm, Sweden, in July 2018, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2018. The 11 revised and extended papers were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.

Knowledge Management, Innovation, and Entrepreneurship in a Changing World

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Publisher : IGI Global
ISBN 13 : 1799823571
Total Pages : 463 pages
Book Rating : 4.75/5 ( download)

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Book Synopsis Knowledge Management, Innovation, and Entrepreneurship in a Changing World by : Jennex, Murray Eugene

Download or read book Knowledge Management, Innovation, and Entrepreneurship in a Changing World written by Jennex, Murray Eugene and published by IGI Global. This book was released on 2020-03-27 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s world of business, gaining an advantage of competitors is a focal point for organizations and a driving force in the economy. New practices are being studied and implemented constantly by rivaling companies. Many industries have begun putting emphasis on intensive knowledge practices, with the belief that implementing cutting-edge learning practices will fuel research and innovation within the company. Understanding this dynamic method of management is critical for managers and executives who wish to propel the success of their organizations. Knowledge Management, Innovation, and Entrepreneurship in a Changing World is a collection of pioneering research on the methods of gaining organizational advantages based on knowledge innovation and management. While highlighting topics including human-robot teaming, organizational learning, and e-collaboration, this book will explore the sustainable links between knowledge management influences and organizational capability. This book is ideally designed for managers, strategists, economists, policymakers, entrepreneurs, business professionals, researchers, students, and academics seeking research on recent trends in innovative economics and business technologies.