Description
Big Data and Ontology Application: Concept, Analytics and Theoretical Extension examines the intersection of big data technologies and ontology-based knowledge representation, highlighting how semantic models can enhance the organization, integration, and analysis of large and complex datasets. Designed for researchers, postgraduate students, and information technology professionals, the book explores the theoretical foundations of big data and ontology, analytical techniques, and emerging applications across diverse domains. By combining conceptual discussions with contemporary research and practical examples, it provides readers with a deeper understanding of how ontology-driven approaches can improve data management, knowledge discovery, and decision-making in the era of big data.
