KNOWLEDGE BASE ON EPIDEMICS FROM AMELICA/REDALYC JOURNALS

"In the face of a global health contingency, the vital role of Open Access is endorsed: to bring knowledge to all corners of the world, to allow science to be quickly and timely accessible so that its contribution is reflected in the improvement of the quality of human life , in saving lives and in the development of a better society for all. Open Access initiatives such as Redalyc have been working towards this goal for 18 years. Today, the AmeliCA/Redalyc alliance reaffirms its commitment to Open Access and continues to develop technology which it is now applied to the semantic dissemination of articles published on topics of interest in epidemiology, pandemics and related topics. This development enable to publish more than 6 thousand articles in Linked Open Data (LOD) format so that they can be processed and interconnected in the LOD knowledge cloud and allow users to browse content and access to full-texts in a thematic discovery service...."   AmeliCA/Redalyc1 run an ontology-based algorithm, previously developed called OntoOAI (Becerril-García & Aguado-Lopez, 2018), on their databases to extract epidemics-related content. The results include: an ontology representation of the knowledge published in 6,557 scientific articles including concepts and relations, as well as their attributes, a directed-graph thematic content browser to access to full-texts and a dataset available at SPARQL endpoint to query the results as part of Linked Open Data...."