SemSci 2017: Enabling Open Semantic Science

1st International Workshop co-located with ISWC 2017, October 2017, Vienna, Austria

In the past few years, a push for open reproducible research has led to a proliferation of community efforts for publishing raw research objects like datasets, software, methodologies, etc. These efforts underpin research outcomes much more explicitly accessible. However, the actual time and effort required to achieve this new form of scientific communication remains a key barrier to reproducibility. Furthermore, scientific experiments are becoming increasingly complex, and ensuring that research outcomes become understandable, interpretable, reusable and reproducible is still a challenge.

The goal of this workshop is to incentivise practical solutions and fundamental thinking to bridge the gap between existing scientific communication methods and the vision of an reproducible and accountable open science. Semantic Web technologies provide a promising means for achieving this goal, enabling more transparent and well-defined descriptions for all scientific objects required for this new form of science and communication. We are particularly interested in four kinds of contributions:

  1. Novel approaches that analyze how publications link to their described methods and research outputs
  2. Novel approaches that use the research outputs of a scientific publication to facilitate its understanding and reuse (e.g., generating explanations of results, interactive visualizations, linking to datasets and methods, etc.)
  3. Novel approaches that help comparing and relating software, datasets and methods used in different publications
  4. Novel approaches to apply Semantic Web and Linked Data techniques to scientific workflows.

Topics of Interest

Topics for submissions include, but are not limited to:

  • Tools, methods and use cases 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 retrieving the method steps expressed in a paper.
  • New methods for generating automated explanations of scientific results.
  • New approaches for comparing methods, protocols and methodologies expressed in 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

Submission Guidelines

Paper submission and reviewing for this workshop will be electronic via EasyChair. The papers should be written in English, following the Springer LNCS format, and be submitted in PDF on or before August 6, 2017. However, SemSci2017 explicitly welcomes alternative and enhanced submission formats, such as communicative online materials. Authors who are preparing such a submission should contact the workshop organizers in advance to make sure we can accommodate for them in the submission and review process. All deadlines are midnight Hawaii time.

The following types of contributions are welcome.

  • Full research papers (8 pages)
  • Position papers (4-6 pages)
  • Short research papers (4-6 pages)
  • System/tool papers (4-6 pages)
  • Posters (2 pages)

Papers presenting a tool will be reviewed based on potential impact of the tool for Open Semantic Science, usability, and documentation. Accepted papers will be published at the CEUR workshop series.

Important Dates

  • Workshop papers due: July 21st July 28th August 6th, 2017
  • Notification of accepted workshop papers: August 24th, 2017
  • Publication of workshop proceedings: September 21st, 2017
  • Workshops held: October 21st, 2017

Invited Speakers

Program Chairs

Program Committee

Open Review

The following list of submissions participate in an open review process, i.e., both the submitted paper and reviews will be made available online:

  • Sheeba Samuel and Birgitta König-Ries. Provenance Oriented Reproducibility of Scripts using the REPRODUCE-ME Ontology (link, reviews)
  • Vera G. Meister. Towards a Knowledge Graph for a Research Group with Focus on Qualitative Analysis of Scholarly Papers (link, reviews)
  • Joachim Van Herwegen, Ruben Taelman, Sarven Capadisli and Ruben Verborgh. Describing configurations of software experiments as Linked Data (link, reviews)
  • Ben De Meester, Anastasia Dimou, Ruben Verborgh and Erik Mannens. Detailed Provenance Capture of Data Processing (link, reviews)
  • Sabbir Rashid, Katherine Chastain, Jeanette Stingone, Deborah McGuinness and Jim McCusker. The Semantic Data Dictionary Approach to Data Annotation and Integration (link, reviews)
  • Rafael S Gonçalves, Martin J. O'Connor, Marcos Martínez-Romero, John Graybeal and Mark A. Musen. Metadata in the BioSample Online Repository are Impaired by Numerous Anomalies (link, reviews)
  • Ensar Hadziselimovic, Kaniz Fatema, Harshvardhan J. Pandit and Dave Lewis. Linked Data Contracts to Support Data Protection and Data Ethics in the Sharing of Scientific Data (link, reviews)
  • Ali Khalili, Peter van Den Besselaar, Al Koudous Idrissou, Klaas Andries de Graaf and Frank van Harmelen. Semantically Mapping Science (SMS) Platform (link, reviews)
  • Carlos Badenes-Olmedo, Jose Luis Redondo-Garcia and Oscar Corcho. An initial Analysis of Topic-based Similarity among Scientific Documents based on their Rhetorical Discourse Parts (link, reviews)

Accepted Papers

To be announced
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