Assessing Scientific Conferences through Knowledge Graphs

“Assessing Scientific Conferences through Knowledge Graphs” is a paper published at the Industry Track of the 2021 International Semantic Web Conference.

Simone Angioni1, Angelo Antonio Salatino2, Francesco Osborne2, Aliaksandr Birukou3, Diego Reforgiato Recupero1, Enrico Motta2

1 Department of Mathematics and Computer Science, University of Cagliari (Italy)

2 Knowledge Media Institute, The Open University, Milton Keynes (UK)

3 Springer-Verlag GmbH, Tiergartenstrasse 17, 69121 Heidelberg (DE)

 

Abstract

Springer Nature is the main publisher of scientific conferences in Computer Science and produces several well-known series of proceedings books, such as LNCS. The editorial team needs to take critical decisions about which conferences to publish as well as actively scan the horizon for identifying emerging ones. In this short paper, we present the Conference Dashboard, a new web application based on a large knowledge graph of scholarly data (1.3B triples) for assessing scientific conferences and informing editorial decisions.

 

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Download from CEUR (OA): http://ceur-ws.org/Vol-2980/paper411.pdf