Description
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.
- Presents a comprehensive examination of the emerging research in areas of the semantic web, including ontological engineering, semantic annotation, reasoning and intelligent processing, semantic search paradigms, semantic web mining, and semantic sentiment analysis
- Helps readers understand key concepts in semantic web applications for biomedical engineering and healthcare, including mapping disparate knowledge bases, security issues, multilingual semantic web, and integrating databases with knowledge bases
- Includes coverage of key application areas of the semantic web, including clinical decision-making, biodiversity science, interactive healthcare, intelligent agent systems, decision support systems, and clinical natural language processing
Table of Contents
1. Semantic Intelligence - An Overview
2. Convology: an ontology for conversational agents in digital health
3. Conversion between semantic data models: the story so far, and the road ahead
4. Semantic interoperability: the future of healthcare
5. A knowledge graph of medical institutions in Korea
6. Resource description framework based semantic knowledge graph for clinical decision support systems
7. Probabilistic, syntactic, and semantic reasoning using MEBN, OWL, and PCFG in healthcare
8. The connected electronic health record: a semantic-enabled, flexible, and unified electronic health record
9. Ontology-supported rule-based reasoning for emergency management
10. Health care cube integrator for health care databases
11. Smart mental healthcare systems
12. A meaning-aware information search and retrieval framework for healthcare
13. Ontology-based intelligent decision support systems: A systematic approach
14. Ontology-based decision-making
15. A new method for profile identification using ontology-based semantic similarity
16. Semantic similarity - based descriptive answer evaluation
17. Classification of genetic mutations using ontologies from clinical documents and deep learning
18. Security issues for the Semantic Web
