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Construction and Leverage Scientific Knowledge Graphs by Means of Semantic Technologies

Abstract:

Scientific production is a key issue in the assessment of universities’ research. Due to the information overload in the publishing domain, it is increasingly difficult for experts, and decision-makers to find relevant information to carry out their research or management tasks. To address this problem, Knowledge Graphs are used to explore and connect publishing sources by increasing their value. In this paper, the authors propose a process to construct a scientific knowledge graph based-on publications’ metadata. A case study implemented in a given university is explained. Finally, some visual representations are created from results returned by SPARQL queries. Thus, people will find relationships and patterns underlying scholarly production.