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2nd International Workshop on Consuming Linked Data (COLD 2011)
http://km.aifb.kit.edu/ws/cold2011/

at the 10th International Semantic Web Conference
http://iswc2011.semanticweb.org

October 23 or 24, 2011, in Bonn, Germany
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ABSTRACT
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The quantity of published Linked Data is increasing dramatically. However,
applications that consume this data are not yet endemic. Reasons for this may
include one or more of a number of open issues including, lack of methods for
seamless integration of Linked Data from multiple sources, dynamic discovery
of available data and data sources, provenance and information quality
assessment, application development environments, and appropriate end user
interfaces. Addressing these issues requires well-founded research, including
the development and investigation of concepts that can be applied in systems
which consume Linked Data from the Web.
Following the success of the 1st International Workshop on Consuming Linked
Data (COLD 2010), we organize the second edition of this workshop in order to
provide a platform for discussion and work on these open research problems.
The main objective is to provide a venue for scientific discourse -including
systematic analysis and rigorous evaluation- of concepts, algorithms and
approaches for consuming Linked Data.


IMPORTANT DATES
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Paper Submission Deadline August 15, 2011, 23.59 Hawaii time
Acceptance Notification September 6, 2011
Camera Ready September 15, 2011
COLD Workshop October 23 or 24, 2011


WORKSHOP INTRODUCTION AND OBJECTIVES
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The term Linked Data refers to a practice to publish and interlink structured
data on the Web. Since the practice has been proposed in 2006, a grass-roots
movement started to publish and to interlink multiple open databases on the
Web following the Linked Data principles. Due to conference workshops,
tutorials, and general evangelism an increasing number of data publishers such
as the BBC, Thomson Reuters, The New York Times, the Library of Congress, and
the UK and US governments adopt this practice. This ongoing effort resulted in
bootstrapping the Web of Linked Data which, today, comprises billions of RDF
triples including millions of RDF links. The published datasets include data
about books, movies, music, radio and television programs, reviews, scientific
publications, genes, proteins, medicine, and clinical trials, geographic
locations, people, companies, statistical and census data, etc.

Access to this data presents exciting opportunities for the next generation of
Web-based applications: Data from different providers can be aggregated;
fragmentary information from multiple sources can be integrated to achieve a
more complete view. While a few applications, such as the BBC music guide have
used Linked Data to significant benefit, the deployment methodology has been to
harvest the data of interest from the Web to create a private, disconnected
repository for each specific application. This approach can only be the
beginning; new concepts to consume Linked Data are required in order to
exploit the Web of Linked Data to its full potential. The concepts, patterns,
and tools necessary are very different from situations when resource identifiers
are known a priori, local, whole-repository queries are possible, access to
the repository is reliable, and relevant data sources are known to be
trustworthy.

Several open issues that make the development of Linked Data based
applications a challenging or still impossible task. These issues include the
lack of approaches for seamless integration of Linked Data from multiple
sources, for dynamic, on-the-fly discovery of available data, for information
quality assessment, and for appropriate end user interfaces. These open issues
can only be addressed appropriately when they are conceived as research
problems that require the development and systematic investigation of novel
approaches. The International Workshop on Consuming Linked Data aims to provide
a platform for the presentation and discussion of such approaches. Our main
objective is to receive submissions that present scientific discussion
(including systematic evaluation) of concepts and approaches, instead of
exposition of features implemented in Linked Data based applications. For
practical systems without formalization or evaluation we refer interested
participants to other offerings at ISWC, such as the Semantic Web Challenge
or the Demo Track. As such, we see our workshop as orthogonal to these events.

TOPICS
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Relevant topics for COLD 2011 include but are not limited to:

* Web scale data management (indexing, crawling, etc.)
* Query processing over multiple linked datasets
* Search in the Web of Linked Data
* Auto-discovery
- of URIs,
- of additional data that is not from the authoritative source of a URI,
- of relevant linked datasets in general
* Caching and replication
* Dataset dynamics
- processing change notifications,
- keeping consistency,
- temporal tracking of linked datasets
* Reasoning on Linked Data from multiple sources
* Knowledge discovery deriving insights from the Web of Linked Data
* Information quality of Linked Data
- information quality assessment,
- trustworthiness,
- provenance
* UI research for the interaction with the Web of Linked Data
- user interaction and usability,
- visualizing Linked Data,
- natural language interfaces


SUBMISSION AND PROCEEDINGS
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We seek full technical research papers with a length of up to 12 pages. In
addition to these full papers, researchers are invited to submit short vision
papers and short systems/demo papers with a length of up to up to 6 pages,
respectively; vision and systems/demo papers must be clearly marked as such.

Paper submissions must be formatted in the style of the Springer Publications
format for Lecture Notes in Computer Science (LNCS), please see
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0

Please submit your paper via EasyChair at
http://www.easychair.org/conferences/?conf=cold2011

Submissions that do not comply with the formatting of LNCS or that exceed the
12 page limit will be rejected without review.

We note that the author list does not need to be anonymized, as we do not have
a double-blind review process in place.

Submissions will be peer reviewed by three independent reviewers. Accepted
papers have to be presented at the workshop and they will be included in the
workshop proceedings that are published online at CEUR-WS.


ORGANIZATION COMMITTEE
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Olaf Hartig
Database and Information Systems Research Group
Humboldt-Universit�t zu Berlin, Germany

Juan F. Sequeda
Department of Computer Sciences
University of Texas at Austin, USA

Andreas Harth
Institut AIFB
Karlsruhe Institute of Technology, Germany


CONTACT
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Web: http://km.aifb.kit.edu/ws/cold2011/
Email: cold.org.ws@googlemail.com
Phone: +49 30 2093-3022
Fax: +49 30 2093-3010