Data Science with Semantic Technologies

Table of contents

1. Cover
2. Half Title
3. Title
4. Copyright
5. Contents
6. Preface
7. List of Contributors
8. Chapter 1 Machine Learning Meets the Semantic Web
9. Chapter 2 Knowledge Graphs: Connecting Information over the Semantic Web
10. Chapter 3 Latest Trends in Language Processing to Make Semantic Search More Semantic
11. Chapter 4 Semantic Information Retrieval Models
12. Chapter 5 Enterprise Application Development Using Semantic Web Languages for Semantic Data Modeling
13. Chapter 6 The Metadata Management for Semantic Ontology in Big Data
14. Chapter 7 Role of Knowledge Data Science during Covid-19
15. Chapter 8 Semantic Technologies in Next Era of Industry Revolution: Industry 4.0
16. Chapter 9 Semantic Interoperability Framework and its Application in Agriculture
17. Chapter 10 Design and Implementation of a Short Circuit Detection System Using Data Stream and Semantic Web Techniques
18. Chapter 11 Semantic-Based Access Control for Data Resources
19. Chapter 12 Ontological Engineering: Research Directions and Real-Life Applications
20. Chapter 13 Expert Systems in AI: Components, Applications, and Characteristics Focusing on Chatbot
21. Index