Semantic approach for discovery and visualization of academic information structured with OAI-PMH uri icon


  • © 2017, Budapest Tech Polytechnical Institution. All rights reserved. There are different channels to communicate the results of a scientific research; however, several research communities state that the Open Access (OA) is the future of academic publishing. These Open Access Platforms have adopted OAI-PMH (Open Archives Initiative - the Protocol for Metadata Harvesting) as a standard for communication and interoperability. Nevertheless, it is significant to highlight that the open source knowledge discovery services based on an index of OA have not been developed. Therefore, it is necessary to address Knowledge Discovery (KD) within these platforms aiming at students, teachers and/or researchers, to recover both, the resources requested and the resources that are not explicitly requested - which are also appropriate. This objective represents an important issue for structured resources under OAI-PMH. This fact is caused because interoperability with other developments carried out outside their implementation environment is generally not a priority (Level 1 ¿Shared term definitions¿). It is here, where the Semantic Web (SW) becomes a cornerstone of this work. Consequently, we propose OntoOAIV, a semantic approach for the selective knowledge discovery and visualization into structured information with OAI-PMH, focused on supporting the activities of scientific or academic research for a specific user. Because of the academic nature of the structured resources with OAI-PMH, the field of application chosen is the context information of a student. Finally, in order to validate the proposed approach, we use the RUDAR (Roskilde University Digital Archive) and REDALYC (Red de Revistas Científicas de América Latina y el Caribe, España y Portugal) repositories, which implement the OAI-PMH protocol, as well as one student profile for carrying out KD.

Publication date

  • January 1, 2017