- From: Daniel Garijo <dgarijo@isi.edu>
- Date: Tue, 13 Nov 2018 17:55:50 -0800
- To: k-cap@mailman.isi.edu, "semantic-web@w3.org Web" <semantic-web@w3.org>
- Message-ID: <CAExK0DdZCdr2m=pzMC2GK7hU8OTteWUQHqMz5A3sCfpjyNpJxQ@mail.gmail.com>
Dear all, due to multiple requests, we have extended the deadline submission for papers on Semantic eScience until 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
Received on Wednesday, 14 November 2018 01:56:28 UTC