Advanced Concepts, Methods, and Applications in Semantic Computing

Advanced Concepts, Methods, and Applications in Semantic Computing
PDF
  • eBook:
    Advanced Concepts, Methods, and Applications in Semantic Computing
  • Author:
    Olawande Daramola, Thomas Moser
  • Edition:
    1 edition
  • Categories:
  • Data:
    December 18, 2020
  • ISBN:
    1799866971
  • ISBN-13:
    9781799866978
  • Language:
    English
  • Pages:
    296 pages
  • Format:
    PDF

Book Description
Semantic computing is critical for the development of semantic systems and applications that must utilize semantic analysis, semantic description, semantic interfaces, and semantic integration of data and services to deliver their objectives. Semantic computing has enormous capabilities to enhance the efficiency and throughput of systems that are based on key emerging concepts and technologies such as semantic web, internet of things, blockchain technology, and knowledge graphs. Thus, research that expounds advanced concepts, methods, technologies, and applications of semantic computing for solving challenges in real-world domains is vital.
Advanced Concepts, Methods, and Applications in Semantic Computing is a scholarly reference book that provides a sound theoretical foundation for the application of semantic methods, concepts, and technologies for practical problem solving. It is designed as a comprehensive and reliable resource on how semantic-oriented approaches can be used to aid new emergent technologies and tackle real-world problems. Covering topics that include deep learning, machine learning, blockchain technology, and semantic web services, this book is ideal for professionals, academicians, researchers, and students working in the field of semantic computing in various disciplines, including but not limited to software engineering, systems engineering, knowledge engineering, electronic commerce, computer science, and information technology.

Content

Section 1 - Background, Concepts, and Methods
Chapter 1. An Overview and Technological Background of Semantic Technologies
Chapter 2. The Impact of Deep Learning on the Semantic Machine Learning Representation
Chapter 3. Semantic and Blockchain Technology
Chapter 4. Structuring Abstraction to Achieve Ontology Modularisation
Chapter 5. Integrating Semantic Acquaintance for Sentiment Analysis
Chapter 6. A Review of the IoT-Based Pervasive Computing Architecture for Microservices in Manufacturing Supply Chain Management

Section 2 - Applications
Chapter 7. Semantic Medical Image Analysis: An Alternative to Cross-Domain Transfer Learning
Chapter 8. Creation of Value-Added Services by Retrieving Information From Linked and Open Data Portals
Chapter 9. NreASAM: Towards an Ontology-Based Model for Authentication and Auto-Grading Online Submission of Psychomotor Assessments
Chapter 10. UcEF for Semantic IR: An Integrated Context-Based Web Analytics Method
Chapter 11. A Framework to Data Integration for an Internet of Things Supporting Manufacturing Supply Chain Operation
Chapter 12. Towards Semantic Data Integration in Resource-Limited Settings for Decision Support on Gait-Related Diseases

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