Semantics, Analytics, Visualization (eBook, PDF)

3rd International Workshop, SAVE-SD 2017, Perth, Australia, April 3, 2017, and 4th International Workshop, SAVE-SD 2018, Lyon, France, April 24, 2018, Revised Selected Papers
Redaktion: González-Beltrán, Alejandra; Vahdati, Sahar; Peroni, Silvio; Osborne, Francesco

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 3^rd International Workshop, SAVE-SD 2017, held in Perth, Australia, in April 2017, and the 4^th International Workshop, SAVE-SD 2018, held in Lyon, France, in April 2018. The 6 full, 2 position and 4 short papers were selected from 16 submissions. The papers describe multiple ways in which scholarly dissemination can be approved: Creating structured data, providing methods for semantic computational analysis and designing systems for navigating. This allows a variety of stakeholders to understand research dynamics, predict trends and evaluate the quality of research.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 171
• Erscheinungstermin: 30. Oktober 2018
• Englisch
• ISBN-13: 9783030013790
• Artikelnr.: 54459893

Inhaltsangabe

Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events.- iLastic: Linked Data Generation Workflow and User Interface for iMinds Scholarly Data.- About a BUOI: joint custody of persistent universally unique identifiers on the web, or, making PIDs more FAIR.- Extending ScholarlyData with research impact indicators.- Geographical trends in research: a preliminary analysis on authors affiliations.- A Web application for creating and sharing visual bibliographies.- Optimized Machine Learning Methods Predict Discourse Segment Type in Biological Research Articles.- EVENTS: A Dataset on the History of Top-Prestigious Events in Five Computer Science Communities.- OSCAR: A customisable tool for free-text search over SPARQL endpoints.- Storing combustion data experiments: new requirements emerging from a first prototype Position paper.- Investigating facets to characterise citations for scholars.- Striving for Semantics of Plant Phenotyping Data.