Computational intelligence for semantic knowledge management : new perspectives for designing and organizing information systems / Giovanni Acampora, Witold Pedrycz, Athanasios V. Vasilakos, Autilia Vitiello, editors.
2020
Q342
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Computational intelligence for semantic knowledge management : new perspectives for designing and organizing information systems / Giovanni Acampora, Witold Pedrycz, Athanasios V. Vasilakos, Autilia Vitiello, editors.
ISBN
9783030237608 (electronic book)
3030237605 (electronic book)
9783030237585
3030237583
9783030237585
3030237605 (electronic book)
9783030237585
3030237583
9783030237585
Published
Cham : Springer, 2020.
Language
English
Description
1 online resource (xviii, 135 pages) : illustrations.
Item Number
10.1007/978-3-030-23760-8 doi
10.1007/978-3-030-23
10.1007/978-3-030-23
Call Number
Q342
Dewey Decimal Classification
006.3
Summary
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, Bushs 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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 21, 2019).
Added Author
Acampora, Giovanni, editor.
Pedrycz, Witold, 1953- editor.
Vasilakos, Athanasios. editor.
Vitiello, Autilia, editor.
Pedrycz, Witold, 1953- editor.
Vasilakos, Athanasios. editor.
Vitiello, Autilia, editor.
Series
Studies in computational intelligence ; v. 837.
Available in Other Form
3030237583
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
Natural Noise Management in Recommender Systems using Fuzzy Tools
Combining Collaborative Filtering and Semantic-based Techniques to Recommend Components for Mashup Design
Semantic Maps for Knowledge Management of Web and Social Information
A Study on Local Search Meta-heuristics for Ontology Alignment
Decision Tree Based Single Person Gesture Recognition
Modiļ¬ed Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition
Performance Analysis.
Combining Collaborative Filtering and Semantic-based Techniques to Recommend Components for Mashup Design
Semantic Maps for Knowledge Management of Web and Social Information
A Study on Local Search Meta-heuristics for Ontology Alignment
Decision Tree Based Single Person Gesture Recognition
Modiļ¬ed Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition
Performance Analysis.