[open-science] Linked Science Workshop 2011

Richard Littauer richard.littauer at gmail.com
Sat Jul 9 13:39:46 BST 2011

Hey Open-Science,

Some of you might be interested in this. Got it on the Taverna users list.
Apologies for possible cross posting.


1st International Workshop on Linked Science 2011 (LISC2011)
Collocated with the 10th International Semantic Web Conference (ISWC2011)
October 23rd or 24th, 2011
Bonn, Germany



Scientific efforts are traditionally published only as articles, with an
estimate of millions of publications worldwide per year; the growth rate
of PubMed alone is now 1 paper per minute. The validation of scientific
results requires reproducible methods, which can only be achieved if the
same data, processes, and algorithms as those used in the original
experiments were available. However, the problem is that although
publications, methods and datasets are very related, they are not always
openly accessible and interlinked. Even where data is discoverable,
accessible and assessable, significant challenges remain in the reuse of
the data, in particular facilitating the necessary correlation,
integration and synthesis of data across levels of theory, techniques
and disciplines. In the LISC 2011 (1st International Workshop on Linked
Science) we will discuss and present results of new ways of publishing,
sharing, linking, and analyzing such scientific resources motivated by
driving scientific requirements, as well as reasoning over the data to
discover interesting new links and scientific insights.

Making entities identifiable and referenceable using URIs augmented by
semantic, scientifically relevant annotations greatly facilitates access
and retrieval for data which used to be hardly accessible. This Linked
Science approach, i.e., publishing, sharing and interlinking scientific
resources and data, is of particular importance for scientific research,
where sharing is crucial for facilitating reproducibility and
collaboration within and across disciplines. This integrated process,
however, has not been established yet. Bibliographic contents are still
regarded as the main scientific product, and associated data, models and
software are either not published at all, or published in separate
places, often with no reference to the respective paper.

In the workshop we will discuss whether and how new emerging
technologies (Linked Data, and semantic technologies more generally) can
realize the vision of Linked Science. We see that this depends on their
enabling capability throughout the research process, leading up to
extended publications and data sharing environments. Our workshop aims
to address challenges related to enabling the easy creation of data
bundles---data, processes, tools, provenance and annotation---supporting
both publication and reuse of the data. Secondly, we look for tools and
methods for the easy correlation, integration and synthesis of shared
data. This problem is often found in many disciplines (including
astronomy, biology, climate change research, geosciences, cultural
heritage, etc.), as they need to span techniques, levels of theory,
scales, and disciplines. With the advent of Linked Science, it is timely
and crucial to address these identified research challenges through both
practical and formal approaches.


We invite two kinds of submissions:
- Research papers. These should not exceed 12 pages in length.
- Position papers. Novel ideas, experiments, and application visions
from multiple disciplines and viewpoints are a key ingredient of the
workshop. We therefore strongly encourage the submission of position
papers. Position papers should not exceed 5 pages in length.

Submissions should be formatted according to the Lecture Notes in Computer
Science guidelines for proceedings available at
http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0. Papers
should be submitted in PDF format. All submissions will be done
electronically via the LISC2011 web submission system.

At least one author of each accepted paper must register for the workshop.
Information about registration will appear soon on the ISCW2011 Web pages.


In both categories, papers are expected in (but not restricted to) the
following topics:

- Key research life cycle challenges in enabling linked science and
proposed solution strategies
- Interrelationship of existing traditional solutions and new linked
science solutions
- Formal representations of scientific data
- Ontologies for scientific information
- Reasoning mechanisms for linking scientific datasets
- Integration of quantitative and qualitative scientific information
- Ontology-based visualization of scientific data
- Semantic similarity in science applications
- Semantic integration of crowd sourced scientific data
- Connecting scientific publications with underlying research datasets
- Provenance, quality, privacy and trust of scientific information
- Enrichment of scientific data through linking and data integration
- Semantic driven data integration
- Support for data publishing for sharing and reuse
- Case studies on linked science, i.e., astronomy, biology,
environmental and socio-economic impacts of global warming, statistics,
environmental monitoring, cultural heritage, etc.
- Barriers to the acceptance of linked science solutions and strategies
to address these
- Linked Data for
    - dissemination and archiving of research results
    - collaboration and research networks
    - research assessment
- Applications for research that build on top of Linked Data
- Legal, ethical and economic aspects of Linked Data in science


We expect the workshop proceedings to be published as CEUR Workshop
Proceedings (see http://ceur-ws.org<http://ceur-ws.org/>).


- Paper submission deadline: August 15
- Notification of acceptance or rejection: September 5
- Camera ready version due: September 16


- Tomi Kauppinen, University of Muenster, Germany
- Line C. Pouchard, Oak Ridge National Laboratory, USA


- Mathieu d'Aquin, Open University, UK
- Frank van Harmelen, Vrije Universiteit Amsterdam, The Netherlands
- Carsten Keßler, University of Muenster, Germany
- Kerstin Kleese-Van Dam, Pacific Northwest National Laboratory, USA
- Eric G. Stephan, Pacific Northwest National Laboratory, USA
- Jun Zhao, University of Oxford, UK


- Sören Auer, University of Leipzig, Germany
- V. Balaji, Princeton University and NOAA/GFDL, USA
- Luis Bermudez, Open Geospatial Consortium, USA
- Benno Blumenthal, Columbia University, USA
- Chris Bizer, Free University of Berlin, Germany
- Tim Clark, Harvard University, USA
- Philippe Cudre-Mauroux, University of Fribourg, Switzerland
- Anusuriya Devaraju, University of Münster, Germany
- Stefan Dietze, The Open University, UK
- Kai Eckert, Mannheim University Library, Germany
- Peter Fox, Rensselaer Polytechnic Institute, USA
- Auroop Ganguly, Oak Ridge National Laboratory and University of
Tennessee, Knoxville, USA
- Damian Gessler, U. of Arizona, USA
- Paul Groth, VU University Amsterdam, The Netherlands
- John Harney, Oak Ridge National Laboratory, USA
- Laura Hollink, TU Delft, The Netherlands
- Maria Indrawan, Monash University, Australia
- Antoine Isaac, Europeana, The Netherlands
- Krzysztof Janowicz, Pennsylvania State University, USA
- Matt Jones, UC Santa-Barbara, USA
- Werner Kuhn, University of Münster, Germany
- Chris Lynnes, NASA, USA
- Deborah L. McGuinness, Rensselaer Polytechnic Institute, USA
- Jim Myers, Rensselaer Polytechnic Institute, USA
- Paulo Pinheiro da Silva, University of Texas El Paso, USA
- Martin Raubal, ETH Zürich, Switzerland
- Mark Schildhauer, UC Santa-Barbara, USA
- Anita de Waard, Elsevier Labs
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