Automatic Extraction and Management of Open Access Bibliographic Information
María Hallo, María Escobar, Sergio Luján-Mora
2nd IEEE World Engineering Education Conference (EDUNINE 2018), p. 1-5, Buenos Aires (Argentina), March 11-14 2018. ISBN: 978-1-5386-4889-6. https://doi.org/10.1109/EDUNINE.2018.8450950
(EDUNINE'18a) Congreso internacional / International conference
Open access journals facilitate the access to research publications. However, the number of publications grows each year and the researchers devote so much time to the retrieval, analysis and management of bibliographic information. In this work, we present a framework to support the search, download and management of bibliographic information. A content-based recommender module is included into the framework. The research publication metadata and the corresponding PDF files are extracted using the recommender module and the Application Program Interface from the Directory of Open Access Journals (DOAJ). The results are presented to the user for the selection process. The selected publications are stored in a local database integrated in a bibliographic management system. A prototype was developed and was tested with information from open access journals managed by the DOAJ.