NEWS: Check out the follow up Special Issue on Semantic Science on Semantic Web Journal (deadline 16 Nov 2018): http://www.semantic-web-journal.net/blog/call-papers-special-issue-semantic-escience-methods-tools-and-applications#
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:
Topics for submissions include, but are not limited to:
|Session 1: Knowledge Graphs in Semantic Science|
|09:10-09:50||Keynote speaker: Paul Groth. The Challenge of Deeper Knowledge Graphs for Science (slides). Over the past 5 years, we have seen multiple successes in the development of knowledge graphs for supporting science in domains ranging from drug discovery to social science. However, in order to really improve scientific productivity, we need to expand and deepen our knowledge graphs. To do so, I believe we need to address two critical challenges: 1) dealing with low resource domains; and 2) improving quality. In this talk, I describe these challenges in detail and discuss some efforts to overcome them through the application of techniques such as unsupervised learning; the use of non-experts in expert domains, and the integration of action-oriented knowledge (i.e. experiments) into knowledge graphs.|
|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 (slides)|
|Session 2: Reproducibility of scientific experiments|
|11:00-11:40||Keynote speaker: Hala Skaf. From Scientific Workflows to Linked Experiment Reports (slides). Scientific Workflow management systems have been largely adopted by data-intensive science communities. PROV has been adopted by a number of workflow systems for encoding the traces of workflow executions. Exploiting these provenance traces is hampered by the heterogeneity of the generated provenance traces in cross-workflow provenance and the difficultly for a human user to browse and understand the large generated provenance graphs. In this talk, I present SHARP a linked data approach for harmonizing cross-workflow provenance and mining provenance graph. SHARP allows to produce linked in silico domain-specific experiment reports represented as Micropublications or nanopublications. Experimental results using real-world omic experiments involving workflow traces generated by Taverna and Galaxy systems demonstrate the feasibility of the approach.|
|11:40-12:00||Alasdair Gray. Using a Jupyter Notebook to perform a reproducible scientific analysis over semantic web sources (slides)|
|12:00-12:20||Carlos Buil Aranda and Maximiliano Osorio. Reproducibility of computational environments for Scientific Experiments using Container-based virtualization (slides)|
|Session 3: Disseminating Open Semantic Science|
|14:00-14:20||Marilena Daquino, Ilaria Tiddi, Silvio Peroni and David Shotton. Creating Open Citation Data with Bcite (slides)||14:20-15:20||Round table: Challenges for communication and dissemination of Open Science|
|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. Computational Knowledge Graphs.
This talk proposes Computational Knowledge Graphs (CKGs) as a new paradigm that combines the structure of knowledge graphs and the reasoning power of semantic workflows. CKGs connect physical entities and variables of interest via computations that reflect natural laws and constraints. CKGs can provide important capabilities to understand complex dynamic systems in science.
|17:20-17:30||Wrap up (slides) and town hall.|
Workshop proceedings: http://ceur-ws.org/Vol-2184/
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.
Accepted papers will be published at the CEUR workshop series and in the SemSci website.
Open review: Reviewers and authors are encouraged to participate in an open review process to make the discussion as transparent as possible.