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Semantic Intelligent Computing and Applications
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Edited by:
, , , and
Language:
English
Published/Copyright:
2024
About this book
Artificial intelligence advancements, machine intelligence innovations, and semantic web developments together make up semantic intelligence technologies. The edited book integrates artifi cial intelligence, machine learning, IoT, blockchain, and natural language processing with semantic web technologies. This book also aims to offer real-life solutions to the pressing issues currently being faced by semantic web technologies.
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Provides a guideline manual for the theory and applications of semantic technologies.
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Discusses applications to AI, Machine Learning, IoT, Blockchain.
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Can serve as reference for practitioners as well as textbook for advanced students.
Author / Editor information
M. Ghonge, Sandip Institute of Technology and Research Center, Nashik, India; P. Nijalingappa, R. Ravi, S. Laddha and P. Chavan, India.
Topics
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Frontmatter
I -
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Preface
V -
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Contents
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List of contributing authors
IX -
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Editors profile
XIII -
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1 Semantic web technologies: architecture, application, trends, and challenges
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2 Review on role of semantic technologies in various domains
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3 Geospatial semantic information modeling: concept and research issues
41 -
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4 Applications of artificial intelligence for employees’ health and safety: present and future
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5 Hybrid entropy-based support vector machine with genetic algorithm for classification
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6 Decision system for bone disease diagnosis using crisp rule set theory
105 -
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7 Extracting business methodology: using artificial intelligence-based method
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8 A blockchain-based business model to promote COVID-19 via cloud services
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9 Evolutionary computation and streaming analytics machine learning with IoT for urban intelligent systems
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Index
183
Publishing information
Pages and Images/Illustrations in book
eBook published on:
December 18, 2023
eBook ISBN:
9783110781663
Hardcover published on:
December 18, 2023
Hardcover ISBN:
9783110781595
Pages and Images/Illustrations in book
Front matter:
14
Main content:
184
Illustrations:
16
Coloured Illustrations:
31
Tables:
8
Keywords for this book
Semantic web; web ontology; machine learning; artificial intelligence; internet of things
Audience(s) for this book
Professionals (Data & Knowledge Engineers, Data Analysts, Data Security Analysts), Researchers, Advanced Students
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com