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Computational Intelligence for Semantic Knowledge Management

New Perspectives for Designing and Organizing Information Systems

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  • © 2020

Overview

Editors:
  1. Giovanni Acampora

    1. Department of Physics “Ettore Pancini”, University of Naples Federico II, Naples, Italy

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  2. Witold Pedrycz

    1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

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  3. Athanasios V. Vasilakos

    1. Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Skellefteå, Sweden

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  4. Autilia Vitiello

    1. Department of Physics “Ettore Pancini”, University of Naples Federico II, Naples, Italy

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  • Provides a comprehensive overview of computational intelligence methods for semantic knowledge management
  • Covers both theoretical and application aspects
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 837)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Natural Noise Management in Recommender Systems Using Fuzzy Tools

    • Raciel Yera, Jorge Castro, Luis Martínez
    Pages 1-24

  3. Combining Collaborative Filtering and Semantic-Based Techniques to Recommend Components for Mashup Design

    • Loredana Caruccio, Vincenzo Deufemia, Salvatore Esposito, Giuseppe Polese
    Pages 25-37

  4. Semantic Maps for Knowledge Management of Web and Social Information

    • Francesco Camastra, Angelo Ciaramella, Antonio Maratea, Le Hoang Son, Antonino Staiano
    Pages 39-51

  5. A Study on Local Search Meta-heuristics for Ontology Alignment

    • Giovanni Acampora, Autilia Vitiello
    Pages 53-70

  6. Decision Tree Based Single Person Gesture Recognition

    • Sriparna Saha, Shreyasi Datta, Amit Konar
    Pages 71-89

  7. Modified Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition

    • Sriparna Saha, Pratyusha Rakshit, Amit Konar
    Pages 91-135
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Keywords

About this book

This book provides a comprehensive overview of computational intelligence methods for semantic knowledge management. Contrary to popular belief, the methods for semantic management of information were created several decades ago, long before the birth of the Internet. In fact, it was back in 1945 when Vannevar Bush introduced the idea for the first protohypertext: the MEMEX (MEMory + indEX) machine. In the years that followed, Bush’s idea influenced the development of early hypertext systems until, in the 1980s, Tim Berners Lee developed the idea of the World Wide Web (WWW) as it is known today. From then on, there was an exponential growth in research and industrial activities related to the semantic management of the information and its exploitation in different application domains, such as healthcare, e-learning and energy management.
 
However, semantics methods are not yet able to address some of the problems that naturally characterize knowledge management, such as the vagueness and uncertainty of information. This book reveals how computational intelligence methodologies, due to their natural inclination to deal with imprecision and partial truth, are opening new positive scenarios for designing innovative semantic knowledge management architectures.


Editors and Affiliations

  • Department of Physics “Ettore Pancini”, University of Naples Federico II, Naples, Italy

    Giovanni Acampora, Autilia Vitiello

  • Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

    Witold Pedrycz

  • Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Skellefteå, Sweden

    Athanasios V. Vasilakos

Bibliographic Information

  • Book Title: Computational Intelligence for Semantic Knowledge Management

  • Book Subtitle: New Perspectives for Designing and Organizing Information Systems

  • Editors: Giovanni Acampora, Witold Pedrycz, Athanasios V. Vasilakos, Autilia Vitiello

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-23760-8

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-23758-5Published: 24 July 2019

  • eBook ISBN: 978-3-030-23760-8Published: 11 July 2019

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVIII, 135

  • Number of Illustrations: 9 b/w illustrations, 41 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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