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Full Description
Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. This book provides a roadmap for semantic web technologies (SWTs) and highlights their role in a wide range of domains including cloud computing, Internet of Things, big data, sensor network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations. The role of SWTs in 'epidemic Covid-19', 'e-learning platforms and systems', 'block chain', 'open online courses', and 'visual analytics in healthcare' is described as well. This book:
Explores all the critical aspects of semantic web technologies (SWTs)
Discusses the impact of SWTs on cloud computing, Internet of Things, big data, and sensor network
Offers a comprehensive examination of the emerging research in the areas of SWTs and their related domains
Provides a template to develop a wide range of smart and intelligent applications
Includes latest applications and examples with real data
This book is aimed at researchers and graduate students in computer science, informatics, web technology, cloud computing, and Internet of Things.
Contents
1. Semantic Web Technologies. 2. Leveraging Semantic Web Technologies for Veracity Assessment of Big Biodiversity Data. 3. Semantic Web Technologies: Latest Industrial Applications. 4. Latest Applications of Semantic Web Technologies for Service Industry. 5. Semantic Web Ontology Centred University Course Recommendation Scheme. 6. Exploring Reasoning for Utilizing the Full Potential of Semantic Web. 7. Ontology Modeling: An Overview of Semantic Web Ontology Formalisms and Engineering Approaches with Editorial Tools. 8. Semantic Annotation of Objects of Interest in Digitized Herbarium Specimens for Fine-Grained Object Classification. 9. UpOnto: Strategic Conceptual Ontology Modeling for Unit Operations in Chemical Industries and Their Retrieval Using Firefly Algorithm. 10. Ontologies for Knowledge Representation: Tools and Techniques for Building Ontologies. 11. Data Science and Ontologies: An Exploratory Study. 12. Ontology Application to Constructing the Gmdh-Based Inductive Modeling Tools. 13. Exploring the Contemporary Area of Ontology Research: FAIR Ontology. 14. Analysis of Ontology-Based Semantic Association Rule Mining. 15. Visualizing Chat-Bot Knowledge Graph Using RDF. 16. Towards Data Integration in the Era of Big Data: Role of Ontologies.
