Web Semantics strengthen the description of web resources to exploit them better and make them more meaningful for both humans and machines, thereby contributing to the development of a knowledgeintensive data web. The world is experiencing the movement of concept from data to knowledge and the movement of web from document model to data model. The underlying idea is making the data machine understandable and processable. In the light of these trends, conciliation of Semantic and the Web is of paramount importance for further progress in the area. Web Semantics: Cutting Edge and Future Directions in Healthcare describes the three major components of the study of Semantic Web, namely Representation, Reasoning, and Security with a special focus on the healthcare domain. This book summarizes the trends and current research advances in web semantics, emphasizing the existing tools and techniques, methodologies, and research solutions. It provides easily comprehensible information on Web Semantics including semantics for data and semantics for services.
1. Web Semantics - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page vi 7. List of contributors - p. Page vii 8. Preface - p. Page vii 9. List of Illustrations - p. Page xii 10. List of Tables - p. Page xiii 11. Chapter 1 : Semantic intelligence: An overview - p. Page xiii 12. Chapter 2 : Convology: an ontology for conversational agents in digital health - p. Page 4 13. Chapter 3 : Conversion between semantic data models: the story so far, and the road ahead - p. Page 21 14. Chapter 4 : Semantic interoperability: the future of healthcare - p. Page 30 15. Chapter 5 : A knowledge graph of medical institutions in Korea - p. Page 51 16. Chapter 6 : Resource description framework based semantic knowledge graph for clinical decision support systems - p. Page 67 17. Chapter 7 : Probabilistic, syntactic, and semantic reasoning using MEBN, OWL, and PCFG in healthcare - p. Page 84 18. Chapter 8 : The connected electronic health record: a semantic-enabled, flexible, and unified electronic health record - p. Page 93 19. Chapter 9 : Ontology-supported rule-based reasoning for emergency management - p. Page 114 20. Chapter 10 : Health care cube integrator for health care databases - p. Page 127 21. Chapter 11 : Smart mental healthcare systems - p. Page 149 22. Chapter 12 : A meaning-aware information search and retrieval framework for healthcare - p. Page 162 23. Chapter 13 : Ontology-based intelligent decision support systems: A systematic approach - p. Page 175 24. Chapter 14 : Ontology-based decision-making - p. Page 191 25. Chapter 15 : A new method for profile identification using ontology-based semantic similarity - p. Page 208 26. Chapter 16 : Semantic similarity–based descriptive answer evaluation - p. Page 218 27. Chapter 17 : Classification of genetic mutations using ontologies from clinical documents and deep learning - p. Page 230 28. Chapter 18 : Security issues for the Semantic Web - p. Page 249 29. Index - p. Page 266
Web Semantics strengthen the description of web resources to exploit them better and make them more meaningful for both humans and machines, thereby contributing to the development of a knowledgeintensive data web. The world is experiencing the movement of concept from data to knowledge and the movement of web from document model to data model. The underlying idea is making the data machine understandable and processable. In the light of these trends, conciliation of Semantic and the Web is of paramount importance for further progress in the area. Web Semantics: Cutting Edge and Future Directions in Healthcare describes the three major components of the study of Semantic Web, namely Representation, Reasoning, and Security with a special focus on the healthcare domain. This book summarizes the trends and current research advances in web semantics, emphasizing the existing tools and techniques, methodologies, and research solutions. It provides easily comprehensible information on Web Semantics including semantics for data and semantics for services.
1. Web Semantics - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page vi 7. List of contributors - p. Page vii 8. Preface - p. Page vii 9. List of Illustrations - p. Page xii 10. List of Tables - p. Page xiii 11. Chapter 1 : Semantic intelligence: An overview - p. Page xiii 12. Chapter 2 : Convology: an ontology for conversational agents in digital health - p. Page 4 13. Chapter 3 : Conversion between semantic data models: the story so far, and the road ahead - p. Page 21 14. Chapter 4 : Semantic interoperability: the future of healthcare - p. Page 30 15. Chapter 5 : A knowledge graph of medical institutions in Korea - p. Page 51 16. Chapter 6 : Resource description framework based semantic knowledge graph for clinical decision support systems - p. Page 67 17. Chapter 7 : Probabilistic, syntactic, and semantic reasoning using MEBN, OWL, and PCFG in healthcare - p. Page 84 18. Chapter 8 : The connected electronic health record: a semantic-enabled, flexible, and unified electronic health record - p. Page 93 19. Chapter 9 : Ontology-supported rule-based reasoning for emergency management - p. Page 114 20. Chapter 10 : Health care cube integrator for health care databases - p. Page 127 21. Chapter 11 : Smart mental healthcare systems - p. Page 149 22. Chapter 12 : A meaning-aware information search and retrieval framework for healthcare - p. Page 162 23. Chapter 13 : Ontology-based intelligent decision support systems: A systematic approach - p. Page 175 24. Chapter 14 : Ontology-based decision-making - p. Page 191 25. Chapter 15 : A new method for profile identification using ontology-based semantic similarity - p. Page 208 26. Chapter 16 : Semantic similarity–based descriptive answer evaluation - p. Page 218 27. Chapter 17 : Classification of genetic mutations using ontologies from clinical documents and deep learning - p. Page 230 28. Chapter 18 : Security issues for the Semantic Web - p. Page 249 29. Index - p. Page 266
