SemSci 2018: Enabling Open Semantic Science

2nd International Workshop co-located with ISWC 2018, October 2018, Monterey, California, USA


In the past few years, a push for open reproducible research has led to a proliferation of community efforts for publishing datasets, software and methods, described in scientific publications. 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 a 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 envisioned form of science and communication. We are particularly interested in four kinds of contributions:

  1. Novel approaches to analyze scientific publications in order to explicitly describe the relationship between their methods and research outputs
  2. Novel approaches that use the research outputs of a scientific publication to facilitate its understanding and reuse (e.g., by generating explanations of results, interactive visualizations or linking datasets and methods)
  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 used in research.

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 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

Workshop schedule - Saturday, October 21st

09:00-09:10 Introduction
Session 1: Knowledge Graphs in Semantic Science
09:10-09:50 Keynote speaker: Paul Groth Title TBA
09:50-10:10 Jim McCusker, Sabbir Rashid, Nkechinyere Agu, Kristin Bennett and Deborah McGuinness. Developing Scientific Knowledge Graphs Using Whyis
10:10-10:30 Chun Lin, Hang Su, Craig Knoblock, Yao-Yi Chiang, Weiwei Duan, Stefan Leyk and Johannes Uhl. Building Linked Data from Historical Maps
10:30-11:00 Coffee break
Session 2: Semantic metadata
11:00-11:40 Keynote speaker: Hala Skaf Title TBA
11:40-12:00 Alasdair Gray. Using a Jupyter Notebook to perform a reproducible scientific analysis over semantic web sources
12:00-12:20 Carlos Buil Aranda and Maximiliano Osorio. Reproducibility of computational environments for Scientific Experiments using Container-based virtualization
12:20-14:00 Lunch
Session 3: Disseminating Open Semantic Science
14:00-14:20 Marilena Daquino, Ilaria Tiddi and Silvio Peroni. Creating Open Citation Data with Bcite
14:20-15:20 Round table: Challenges for communication and dissemination of Open Science
15:20-16:00 Coffee break
Session 4: Understandability of experiment results
16:00-16:20 Gully Burns, Xiangyang Shi, Yue Wu, Huaigu Cao and Premkumar Natarajan. Towards Evidence Extraction: Analysis of Scientific Figures from Studies of Molecular Interactions
16:20-16:40 Raul Alejandro Vargas Acosta, Luis Garnica Chavira, Natalia Villanueva Rosales and Deana Pennington. Towards SWIM Narratives for Sustainable Water Management
16:40-17:20 Keynote speaker: Yolanda Gil Title TBA

Accepted papers and reviews

  • Marilena Daquino, Ilaria Tiddi and Silvio Peroni. Creating Open Citation Data with BCite. [Paper, Reviews]
  • Alasdair Gray. Using a Jupyter Notebook to perform a reproducible scientific analysis over semantic web sources. [Paper, Reviews]
  • Raul Alejandro Vargas Acosta, Luis Garnica Chavira, Natalia Villanueva Rosales and Deana Pennington. Towards SWIM Narratives for Sustainable Water Management.[Paper, Reviews]
  • Gully Burns, Xiangyang Shi, Yue Wu, Huaigu Cao and Premkumar Natarajan. Towards Evidence Extraction : Analysis of Scientific Figures from Studies of Molecular Interactions. [Paper, Reviews]
  • Carlos Buil Aranda and Maximiliano Osorio. Reproducibility of computational environments for Scientific Experiments using Container-based virtualization. [Paper, Reviews]
  • Jim McCusker, Sabbir Rashid, Nkechinyere Agu, Kristin Bennett and Deborah McGuinness. Developing Scientific Knowledge Graphs Using Whyis. [Paper, Reviews]
  • Chun Lin, Hang Su, Craig Knoblock, Yao-Yi Chiang, Weiwei Duan, Stefan Leyk and Johannes Uhl. Building Linked Data from Historical Maps. [Paper, Reviews]

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 June 1st June 8th, 2018. SemSci2018 explicitly encourages alternative and enhanced submission formats such as HTML or 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.

Papers submitted to the workshop are also encouraged to share their research products online, assigning a DOI when necessary. Workshop organizers will provide pointers and guidelines for this purpose, based on the ISWC Resources Track submission guidelines.

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)

Accepted papers will be published at the CEUR workshop series.

Open review: Reviewers and authors are encouraged to participate in an open review process to make it as transparent as possible.

Important Dates

  • Workshop papers due: June 1 June 8 (extension), 2018
  • Notification of accepted workshop papers: June 27 29-30, 2018
  • Camera ready workshop papers: July 31, 2018
  • Publication of workshop proceedings: August 15, 2018
  • Workshops held: October 9th, 2018

Invited Speakers

This year SemSci will have three invited speakers:

Program Chairs

Program Committee

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