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https://doi.org/10.5220/000680...
Article . 2018 . Peer-reviewed
License: CC BY NC ND
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an architecture to enhance a reference management system with recommendations from open linked data

Authors: Hallo, María; Luján-Mora, Sergio;

an architecture to enhance a reference management system with recommendations from open linked data

Abstract

Reference management software helps students and researchers to store and to cite publications in different citing formats. Common features of reference management software include advanced searching, reference libraries and generation of citations. Some implementations help users to be connected to digital libraries to get the article metadata of interest. Some researchers need to manage references of publications from open access journals because of the elimination of barriers such as the price to get 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. To solve this problem, in this work, we present a framework to support the search, download and management of bibliographic information. A content-based recommender module based on Open Linked Data is included into the framework. The metadata of the research publications and the corresponding PDF files links ar e 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 metadata of 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.

This publication comes from research conducted in the project PII-16-06, with the financial support of Escuela Politécnica Nacional from Quito, Ecuador.

Country
Spain
Keywords

Open Linked Data, Reference Management Software, Lenguajes y Sistemas Informáticos, Content-based Recommender Systems

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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid