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1st CFP Linked Science Workshop 2012 at ISWC2012

From: Jun Zhao <jun.zhao@zoo.ox.ac.uk>
Date: Wed, 30 May 2012 09:38:49 +0100
Message-ID: <4FC5DC99.5040305@zoo.ox.ac.uk>
To: HCLS <public-semweb-lifesci@w3.org>, semantic-web@w3.org, "public-lod@w3.org" <public-lod@w3.org>, "wf4ever@isoco.com" <wf4ever@isoco.com>


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LISC2012 - 2nd International Workshop on
Linked Science 2012 — Tackling Big Data
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1st Call for Papers:

When: November 11th or 12th, 2012
Where: Boston, USA
Collocated with the 11th International Semantic Web Conference (ISWC2012).

Submission Deadline: **July 31, 2012**
Notification Due: **Aug 21, 2012**
Final Version Due: **Sep 10, 2012**

Workshop URI: http://linkedscience.org/events/lisc2012
Hashtag: #LISC2012
Feed: @LinkedScience

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OBJECTIVES
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Scientific communication has traditionally relied upon publications
and presentations, with an estimate of millions of publications
worldwide per year; the growth rate of PubMed alone is now 1 paper per
minute. The results described in these articles are often backed by
large amounts of diverse data produced by complex experiments,
computer simulations, and observations of physical phenomena. Because
of this avalanche of data, it is increasingly hard to validate,
reproduce, reuse and leverage scientific data. In addition, although
publications, methods and datasets are very related, they are not
easily accessible and interlinked. The notable exception is omics
research where journals require deposit of sequences in databanks as a
condition of publication. Even where data is discoverable and
accessible, significant challenges remain in data reuse and sharing,
in facilitating the necessary correlation, integration and synthesis
of data across levels of theory, techniques and disciplines.

In the 2nd International Workshop on Linked Science (LISC2012) we will
discuss and present results of new ways of publishing, sharing and
linking scientific data together, and reasoning over such data to
discover interesting new links to validate research. The theme of this
year’s workshop will focus on research addressing these issues with
respect to big data. Big Data is loosely characterized by the size
and/or number of individual files, the number of represented
variables, a range of physical scales, a range of scientific
disciplines, heterogeneous metadata and data formats, in short data
that cannot easily be accessed and manipulated from a thumb-drive.

Making entities identifiable and referenceable using URIs augmented by
semantic, scientifically relevant annotations greatly facilitates data
discovery and access. 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. In particular, this year, we
plan to focus on the theme of Tackling Big Data, soliciting
contributions that discuss issues of analyzing, aggregating, and using
the vast amount of data that scientists produce today. Both in the
United States and in Europe, not only researchers, but also
governments begin to realize the urgent need of analyzing and
processing this data, with funding agencies and research institutions
starting new initiatives. Our workshop will help catalyze the use of
semantic technologies and linked-data approaches in solving the
big-data challenge.

In the LISC2012 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.

LISC2012 is a continuation of the 1st International Workshop on Linked
Science 2011 (LISC2011), collocated with the 10th International
Semantic Web Conference (ISWC2011) in Bonn. LISC2011 raised
significant interest. It was the third largest workshop of ISWC2011 in
terms of the number of participants (35 registered). The discussion
was lively, and breakout sessions identified a research agenda for
Linked Science. The participants asked for the continuation of the
Linked Science workshop series, and LISC2012 is an answer to this
call.

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SUBMISSIONS
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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 4 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 LISC2012 web submission system:

http://www.easychair.org/conferences/?conf=lisc2012

At least one author of each accepted paper must register for the
workshop. All workshop participants have to register for the main
conference, ISWC2012, as well.

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

- Large scale data integration in the sciences
- Analysis of large scale linked data
- 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
- Key research life cycle challenges in enabling linked science and
proposed solution strategies
- Interrelationship of existing traditional solutions and new linked
science solutions
- Connecting scientific publications with underlying research datasets
- Provenance, quality, privacy and trust of scientific information
- Enrichment of scientific data through linking and data integration
- Semantically-driven data integration
- Formal encoding of scientific information
- Scalability of existing semantic and Linked Data solutions for
managing scientific resources
- 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.
- Linked Data for dissemination and archiving of research results,for
collaboration and research networks, and for research assessment
- Applications for research that build on top of Linked Data Legal,
ethical and economic aspects of Linked Data in science

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PROCEEDINGS
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The Workshop Proceedings will be published as CEUR Workshop Proceedings.

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ORGANIZATION
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Workshop chairs:
- Tomi Kauppinen, Institute for Geoinformatics, University of Muenster, 
Germany
- Line C. Pouchard, Oak Ridge National Laboratory, US Department of Energy
- Carsten Keßler, Institute for Geoinformatics, University of Muenster, 
Germany

Organizing committee:
- Paul Groth, Free University of Amsterdam, The Netherlands
- Natasha Noy, Stanford Medical Informatics, USA
- Eric G. Stephan, U.S. Department of Energy Pacific Northwest
National Laboratory in Richland, Washington
- Jun Zhao, University of Oxford, UK

Programme committee:
- Sean Bechhofer, University of Manchester, UK
- Chris Bizer, Free University of Berlin, Germany
- Björn Brembs, Free University of Berlin, Germany
- Boyan Brodaric, Natural Resources Canada, Canada
- Paolo Ciccarese, Harvard University, USA
- Tim Clark, Harvard University, USA
- Stefan Dietze, L3S Research Center, Germany
- Ying Ding, Indiana University, USA
- Michel Dumontier, Carleton University, Canada
- Peter Fox, Rensselaer Polytechnic Institute, USA
- Yolanda Gil, ISI, USA
- Pieter Van Gorp, Eindhoven University of Technology, The Netherlands
- Michael Huhns, University of South Carolina, USA
- Krzysztof Janowicz, University of California, Santa Barbara, USA
- Werner Kuhn, University of Muenster, Germany
- Christopher Lynnes, NASA, USA
- Mark Schildhauer, University of Califormia, Santa Barbara, USA
- Herbert Van de Sompel, Los Alamos National Laboratory, USA
- Jie Tang, Tsinghua University, China
- Stephen Wan, CSIRO, Australia Stephen.Wan@csiro.au
- Anita de Waard, Elsevier Labs
- Nancy Wiegand, University of Wisconsin
- Amrapali Zaveri, University of Leipzig, Germany
Received on Wednesday, 30 May 2012 08:39:21 UTC

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