Semantics, Analytics, Visualization  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 /  [electronic resource] : 
edited by Alejandra González-Beltrán, Francesco Osborne, Silvio Peroni, Sahar Vahdati. 
 - 1st ed. 2018. 
 - XIV, 171 p. 46 illus.  online resource. 
 - Information Systems and Applications, incl. Internet/Web, and HCI,  10959  2946-1642 ; .
 - Information Systems and Applications, incl. Internet/Web, and HCI,  10959 .
<br/><br/>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. 
<br/><br/> This book constitutes the refereed proceedings of the 3rd International Workshop, SAVE-SD 2017, held in Perth, Australia, in April 2017, and the 4th 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. 
<br/><br/><label>ISBN: </label>9783030013790 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-01379-0  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Information storage and retrieval systems.<br/>Artificial intelligence.<br/>Computer science.<br/>Information Storage and Retrieval.<br/>Artificial Intelligence.<br/>Theory of Computation.
<br/><br/><label>LC Class. No.: </label>QA75.5-76.95 
<br/><br/><label>Dewey Class. No.: </label>025.04