Assessing Scientific Conferences through Knowledge Graphs

Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr; Recupero, Diego Reforgiato and Motta, Enrico (2021). Assessing Scientific Conferences through Knowledge Graphs. In: International Semantic Web Conference (ISWC) 2021: Posters, Demos, and Industry Tracks, 2980.

URL: http://ceur-ws.org/Vol-2980/

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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• Item ORO ID
• 79870
• Item Type
• Conference or Workshop Item
• Keywords
• Scholarly Data; Knowledge Graphs; Scholarly Ontologies
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2021 The Authors.
• Depositing User
• ORO Import