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 /
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 .
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.
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.
9783030013790
10.1007/978-3-030-01379-0 doi
Information storage and retrieval systems.
Artificial intelligence.
Computer science.
Information Storage and Retrieval.
Artificial Intelligence.
Theory of Computation.
QA75.5-76.95
025.04
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.
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.
9783030013790
10.1007/978-3-030-01379-0 doi
Information storage and retrieval systems.
Artificial intelligence.
Computer science.
Information Storage and Retrieval.
Artificial Intelligence.
Theory of Computation.
QA75.5-76.95
025.04