Description

This book offers a fresh perspective on using RDF (Resource Description Framework) to represent data and knowledge within the Semantic Web ecosystem.

The first part of the book delves into various RDF serialization theories, with a central focus on Attributed Predicate RDF (AP-RDF)—a model that emphasizes the role of relationships or predicates within graph structures. AP-RDF extends the capabilities of traditional RDF by incorporating the concept of directed property hypergraphs, and it can be implemented directly in existing RDF stores without additional storage infrastructure.

The second part introduces Semantic Mapping, a novel theory that translates structured and graph-based data into RDF while preserving real-world semantics. By acknowledging that real-world data is inherently interconnected—like a directed hypergraph—this approach highlights the importance of transforming relational models into graph-based representations. Both AP-RDF and Semantic Mapping demonstrate that relationships in RDF are not merely connectors, but essential components for organizing and managing knowledge.

Designed for researchers, Semantic Web developers, and data professionals, this book bridges theoretical foundations and practical implementation, offering valuable insights into the future of semantic data modeling and knowledge representation.