Editorial: Special Issue on Scholarly Data Analysis (Semantics, Analytics, Visualisation)

Data Science

article

Alejandra Gonzalez-Beltran¹  Francesco Osborne²  Silvio Peroni³  Sahar Vahdati⁴ 

[1] Scientific Computing Department, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Campus;Knowledge Media Institute, The Open University;Digital Humanities Advanced Research Centre ,(DHARC), Department of Classical Philology and Italian Studies, University of Bologna;Department of Computer Science, University of Oxford

关键词: Semantic publishing;    visual analytics;    ontologies;    data mining;    scholarly data;   

DOI  :  10.3233/DS-190023

来源: IOS Press

【 摘 要 】

The increasing interest in analysing, describing, and improving the research process requires the development of new forms of scholarly data publication and analysis that integrates lessons and approaches from the field of Semantic Technologies, Science of Science, Digital Libraries, and Artificial Intelligence. This editorial summarises the content of the Special Issue on Scholarly Data Analysis (Semantics, Analytics, Visualisation), which aims to showcase some of the most interesting research efforts in the field. This issue includes an extended version of the best papers of the last two editions of the “Semantics, Analytics, Visualisation: Enhancing Scholarly Dissemination” (SAVE-SD 2017 and 2018) workshop at The Web Conference.

【 授权许可】

Unknown