Semantic Intelligent Computing and Applications / / ed. by Pradeep Nijalingappa, Renjith V. Ravi, Shilpa Laddha, Pallavi Vijay Chavan, Mangesh M. Ghonge.

• HerausgeberIn: Chavan, Pallavi Vijay,; Ghonge, Mangesh M.,; Laddha, Shilpa,; Nijalingappa, Pradeep,; Ravi, Renjith V.,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2023]; 2024
• Year of Publication: 2023
• Language: English
• Series: De Gruyter Frontiers in Computational Intelligence , 16
• Physical Description: 1 online resource (XIV, 184 p.)
• Other title: Frontmatter --; Preface --; Contents --; List of contributing authors --; Editors profile --; 1 Semantic web technologies: architecture, application, trends, and challenges --; 2 Review on role of semantic technologies in various domains --; 3 Geospatial semantic information modeling: concept and research issues --; 4 Applications of artificial intelligence for employees' health and safety: present and future --; 5 Hybrid entropy-based support vector machine with genetic algorithm for classification --; 6 Decision system for bone disease diagnosis using crisp rule set theory --; 7 Extracting business methodology: using artificial intelligence-based method --; 8 A blockchain-based business model to promote COVID-19 via cloud services --; 9 Evolutionary computation and streaming analytics machine learning with IoT for urban intelligent systems --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110781663
• ISSN: 2512-8868
• DOI: 10.1515/9783110781663
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: ed. by Pradeep Nijalingappa, Renjith V. Ravi, Shilpa Laddha, Pallavi Vijay Chavan, Mangesh M. Ghonge.

Artificial intelligence advancements, machine intelligence innovations, and semantic web developments together make up semantic intelligence technologies. The edited book integrates artifi cial intelligence, machine learning, IoT, blockchain, and natural language processing with semantic web technologies. This book also aims to offer real-life solutions to the pressing issues currently being faced by semantic web technologies.