[CFP] Reminder: SWJ Special issue on Semantic eScience: Methods, tools and applications - 31st Jan 2019

 Dear all,
this is a final reminder about the deadline extension for the SWJ special
issue on Semantic eScience. The final deadline is on the end of January,
2019. We are looking forward to receiving your contributions!

You can find more information here: http://www.semantic
-web-journal.net/blog/call-papers-special-issue-semantic-escience
-methods-tools-and-applications#

The goal of this special issue is to collect the most recent and advanced
research solutions to bridge the gap between existing scientific
communication methods and the vision of a reproducible and accountable open
science. Topics include, but are not limited to:

   - Tools, methods and use cases/applications for helping linking existing
   papers to their research products: data, software, methods and execution
   traces.
   - New methods for helping linking scientific papers to other papers (e.g.,
   papers that use similar approaches, similar methods, common software,
   common data, etc.)
   - New methods for helping visualizing and presenting scientific
   information to scientists (e.g., provenance-based visualizations,
   summaries, presenting results at different levels of granularity, etc.)
   - New approaches for extracting the specific steps used in a method
   described expressed in a scientific paper.
   - New methods for generating automated explanations of scientific
   results.
   - New approaches for comparing methods, protocols and methodologies
   expressed in scientific papers.
   - New methods to highlight the differences between execution runs of a
   scientific experiment (based on their configuration, performance, results,
   etc.)
   - Tools and methods for discovering data and software used in similar
   publications or to address similar problems.
   - Vocabularies and ontologies that help relate and describe software,
   data, methods and provenance used in a scientific publication.
   - Vocabularies and ontologies that help capturing and presenting
   experiment information to scientists.
   - Automatic annotation of scientific research
   - Provenance, quality, privacy and trust of scientific information
   - Novel visualizations of scientific data
   - Novel approaches to apply Linked Data and Semantic Web techniques to
   scientific workflows

Best,
Daniel, Natalia and Tomi