Overview
- Presents a collection of theoretical, real-world and original research works in the field of Knowledge Based Systems
- Goes beyond the state-of-the-art in the field of Knowledge-Based Systems
- Presents successful applications and use cases of new approaches, methods and techniques for developing advanced Knowledge-Based Systems in different fields
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 120)
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Table of contents (13 chapters)
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Semantic Web Applications
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Knowledge Acquisition and Representation
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Knowledge-Based Decision Support Systems (Tools for Industrial Knowledge Management)
Keywords
About this book
This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others.
Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc.
As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used in different domains.
The book offers a valuable resource for PhD students, Master’s and undergraduate students of Information Technology (IT)-related degrees such as Computer Science, Information Systems and Electronic Engineering.
Editors and Affiliations
Bibliographic Information
Book Title: Current Trends on Knowledge-Based Systems
Editors: Giner Alor-Hernández, Rafael Valencia-García
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-51905-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-51904-3Published: 23 March 2017
Softcover ISBN: 978-3-319-84775-7Published: 18 July 2018
eBook ISBN: 978-3-319-51905-0Published: 13 March 2017
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XXIV, 290
Number of Illustrations: 28 b/w illustrations, 58 illustrations in colour
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications