Serialization and Population RDF in Representing Knowledge on Semantic Web

Description

Unlocking the Power of Relationships in Data Representation. This groundbreaking book introduces Attributed Predicate RDF (AP-RDF)—a powerful extension of RDF that reimagines how complex, structured, and graph-based data can be represented and managed. Emphasizing the pivotal role of relationships or predicates, AP-RDF bridges the gap between relational models and graph data, enabling richer semantics without needing new storage systems.

In the first part, readers are guided through advanced RDF serialization formats and the conceptual foundations of AP-RDF, highlighting its alignment with directed property hyper-graphs. The second part delves into the transformative data conversion process, introducing Semantic Mapping—a novel theory that ensures mappings reflect data’s real-world meaning and structure.

Whether you are working with relational databases, linked data, or graph stores, this book offers both the theory and practical pathways to harnessing the full potential of the Semantic Web.