ONTOLOGY-BASED ARTIFACTS FOR RESEARCH COLLABORATIVE NETWORKS

Abstract

The identification and understanding of patterns in Research Collaborative Networks has become increasingly important, however, the absence of a systemic vision about the process of codification, management and dissemination of knowledge implies a reduction in the capacity to institutionalize the actions of these networks. The purpose of this article was to analyze how ontology-based artifacts have been used to represent Research Collaborative Networks. For this, an integrative literature review was conducted. The analysis of this field shows that these artifacts can provide more assertive access to relevant information and knowledge. They have become increasingly important as the use of knowledge graphs and machine learning has grown. Context is a critical feature for the data that are implicit in the analysis to really be intelligence indicators.