CREAMINKA: An intelligent ecosystem based on ontologies and artificial intelligence to manage research processes, knowledge generation and scientific production in higher education

Abstract

According to the latest estimates of the World Bank, up to 2013 there were 2’184.419.897 scientific and technical articles published in the world. Year in and year out, a great number of these papers is produced by several education institutions, organizations and centers that carry out several research topics and processes. However, it is imperative for universities to determine guidelines and policies that efficiently enable them to manage the information that has been produced, as well as determine the impact all of these processes have on several areas, such as scientific, social and academic. Therefore, this article presents an ecosystem based on ontologies and smart tools that dynamically analyzes scientific production in a university. Our idea is capable of connecting to main scientific data bases such as SCOPUS or Science Direct and applies standards like the International Standard Classification of Education from UNESCO and the All Science Journal from SCOPUS. In order to validate our proposal, we carried out an experimental process that allowed us to supply the ontology with 1.912 individuals of papers, authors, journals and organizations. Similarly, from the 331 articles that have been processed, we have extracted information related to lines of research, keywords, scientific events and many other fields.