Buch, Englisch, 404 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 736 g
Reihe: Computational Intelligence in Engineering Problem Solving
Research and Applications
Buch, Englisch, 404 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 736 g
Reihe: Computational Intelligence in Engineering Problem Solving
ISBN: 978-1-032-31369-6
Verlag: CRC Press
- 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.
Zielgruppe
Academic
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
Weitere Infos & Material
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.