LOD4AIR: A strategy to produce and consume linked open data from OAI-PMH repositories
María Auxilio Medina Nieto, J. Alfredo Sánchez, Ofelia Cervantes, Antonio Benítez, Jorge de la Calleja · 2017
This paper proposes a strategy to produce and consume linked open data (LOD) from OAI-PMH compliant repositories. The strategy represents an alternative to support management and reuse of machine-readable knowledge, which can be exploited by means of semantic web services. The paper's main contribution includes a characterization of tools used to produce LOD, the specification of semantic web services that consumes LOD, and an analysis of our strategy's potential benefits for end-users of REMERI, a specific federated network of institutional repositories. The paper also poses the challenges associated with the implementation of the proposed strategy.