This project addresses the transformation of OAI-PMH metadata into semantic RDF datasets, specifically focusing on bibliographic data from scientific journals and institutional repositories. An automated transformation process was developed to convert entire repositories without requiring manual intervention. The process incorporates thematic classification operations based on Natural Language Processing (NLP) techniques. As a case study, the methodology was applied to the scientific journal repository of the University of Murcia. The work encompasses data source analysis, creation of an RDF application profile, design and execution of the OAI-PMH-to-RDF metadata transformation workflow, and development of a web interface for dataset exploration. The results demonstrate the feasibility and effectiveness of the process, facilitating its integration into the Semantic Web.