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Deadline extension: 5th Workshop on Linked Science 2015 - Best Practices and the Road Ahead

From: Carsten Kessler <carsten.kessler@hunter.cuny.edu>
Date: Wed, 08 Jul 2015 00:45:32 +0000
Message-ID: <CANqMnYPn-da1TRWtFhk4tT+LUZPm0bU6PfjrP9E5RnHosxGcRg@mail.gmail.com>
To: "public-lod@w3.org" <public-lod@w3.org>
*Deadline extended until Monday, July 13th!*

*5th Workshop on Linked Science 2015 – Best Practices and the Road Ahead*

2nd Call for Papers

Workshop location: Bethlehem, PA, USA (co-located with the 14th
International Semantic Web Conference)

Workshop date: October 12, 2015

*Submission Deadline: 13 July 2015, 23:59 Hawaii time*

Notification of Acceptance: 30 July 2015, 23:59 Hawaii time

Camera-ready: August 20, 2014, 23:59 Hawaii time

LISC 2015: October 12, 2015

Workshop URI: http://linkedscience.org/events/lisc2015

Submissions via https://www.easychair.org/conferences/?conf=lisc2015

Hashtag: #LISC2015

Feed: @LinkedScience

Contact: lisc2015@easychair.org

 Workshop motivation

Scientific dissemination has been traditionally dominated by publications
and presentations. Experimental data underpinning the published findings
often remain unpublished or hard to access. Making data entities
identifiable and referenceable using URIs and augment them with semantics
and scientifically relevant annotations could greatly improve data
discovery and access. Linked Science champions an integrated process of
publishing, sharing and interlinking scientific resources and data. This is
of particular importance for scientific research, where open sharing and
seamless access to complete experimental context is crucial for
facilitating knowledge reuse and collaboration within and across

Semantic Web technologies are gaining maturity and rapid momentum in
adoption. The Linked Open Data cloud is continuously being populated with
different kinds of data, such as Web table data (
http://webdatacommons.org/webtables/), linguistic data (see the LLOD, or
the Linguistic Linked Data Cloud http://linguistics.okfn.org/resources/llod/)
as well as many scientific data (such as EBI RDF Platform;
http://www.ebi.ac.uk/rdf/). However, researchers in many scientific
research fields are only starting to explore the possibilities of using
Semantic Web technologies. The interdisciplinary Linked Science workshop
brings together researchers from different fields to discuss whether and
how new emerging technologies, in particular Linked Data, and more
generally semantic technologies, can realize the vision of Linked Science.

In our past four workshops, new ways of using Semantic Web technologies for
integrating and making sense out of scientific data have been presented,
ranging from real experiments and simulations to analytics data analysis,
in support of mining of knowledge, enabling reproducibility of research or
generation of new cross-disciplinary hypotheses. However, despite of these
successes we still find scientific researchers are struggling with adopting
the Linked Science approaches, with limited guidance on what constitutes as
best practices and even more limited knowledge on the range of tools and
technologies available. Therefore, in LISC 2015 we focus on “Best Practices
and the Road Ahead”, to help diminish the knowledge gap between
technologists and those less tech-savvy. LISC2015 invites participants to
think about practical solutions to help apply Linked Science principles and
open research challenges. We expect these solutions to facilitate the
practice of Linked Science can be found in the yet existing gamut of tools
and workflow systems. A special part of the workshop will be devoted to
identifying challenges and gaps for less technology-savvy users in
disciplines such as the humanities or the social sciences.
Topics of Interest

 Topics for submissions include, but are not limited to:


   Tools and workflows for Linked Science

   Linked Data-based scientific experiments

   Integration of quantitative and qualitative scientific information

   Reports about adopting Linked Science

   (Semi-)Automatic hypothesis generation and testing

   Interactive semantic systems

   Active discovery

   Methodology for explorative empirical research on Linked Data

   Citation generation and evaluation

   Reasoning mechanisms for linking scientific datasets

   Novel visualization of scientific data

   Scientific Information Retrieval

   Integration of experimental data using Semantic Web

   Linked Citizen Science

   Ontologies for scientific information

   Semantic similarity in science applications

   Semantic integration of crowd sourced scientific data

   Provenance, quality, privacy and trust of scientific information

   Data sharing, publishing, and reuse

   Experimental setups for replication and reproducibility studies

   Case studies on linked science, i.e., astronomy, biology, environmental
   and socio- economic impacts of global warming, statistics, environmental
   monitoring, cultural heritage, etc.

Submission format

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 use Springer LNCS template. Guidelines for authors can
be found at http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0 and
submissions should be made to
https://www.easychair.org/conferences/?conf=lisc2015. Accepted papers will
be published as part of the CEUR workshop series. Linked Science 2015
explicitly welcomes alternative and enhanced submission formats that
include datasets, ontologies, and interactive formats. 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.

At least one author of each accepted paper must register for the workshop.
All workshop participants have to register for the main conference,
ISWC2015, as well.



   Carsten Keßler (http://carsten.io), Hunter College, City University of
   New York, USA

   Jun Zhao (https://sites.google.com/site/junzhaohome/), Lancaster
   University, UK

   Marieke van Erp (http://www.mariekevanerp.com), VU University Amsterdam,
   The Netherlands

   Tomi Kauppinen (http://kauppinen.net/tomi), Aalto University School of
   Science, Finland

   Jacco van Ossenbruggen, CWI and VU University Amsterdam, The Netherlands

   Willem Robert van Hage (http://wrvhage.nl/), SynerScope B.V. and VU
   University Amsterdam, The Netherlands

Programme Committee


   Mathieu d’Aquin, The Open University, UK

   Boyan Brodaric, Natural Resources Canada

   Oscar Corcho, Universidad Politécnica de Madrid, Spain

   Hannes Ebner, Royal Institute of Technology (KTH), Sweden

   Daniel Garijo, Universidad Politécnica de Madrid, Spain

   Alasdair Gray, Heriot-Watt University, UK

   Paul Groth, Elsevier Labs, the Netherlands

   Rinke Hoekstra, Vrije Universiteit, the Netherlands

   Krzysztof Janowicz, University of California, Santa Barbara, USA

   Simon Jupp, European Bioinformatics Institute, UK

   Craig A. Knoblock, University of Southern California, USA

   Werner Kuhn, University of California, Santa Barbara, USA

   James Malone, European Bioinformatics Institute, UK

   Zoltán Miklós, University of Rennes 1, France

   Eric Stephan, Pacific Northwest National Laboratory, USA

   Amrapali Zaveri, University of Leipzig, Germany
Received on Wednesday, 8 July 2015 00:46:22 UTC

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