Semantic web technologies and data management (original) (raw)

AI-generated Abstract

This paper explores the integration of Semantic Web technologies in data management, emphasizing the limitations of traditional relational and XML models in capturing data semantics. By utilizing RDF and ontologies, the authors propose solutions for semantic queries and data integration challenges that arise from discrepancies in data granularity and missing ontological knowledge. A case study on IBM's master data management solutions illustrates the practical application and benefits of these semantic technologies.

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