2nd CfP: The 1st Int. Workshop on Consuming Linked Data (COLD 2010) at ISWC 2010

1st International Workshop on Consuming Linked Data (COLD 2010)

at the 9th International Semantic Web Conference

November 8, 2010, in Shanghai, China

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.  The workshop on consuming Linked
Data (COLD) aims to 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. 

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 

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 1st International Workshop on Consuming Linked Data (COLD) 
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.

Relevant topics for COLD 2010 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
    - IQ assessment,
    - trustworthiness,
    - provenance
* UI research for the interaction with the Web of Linked Data
    - user interaction and usability,
    - visualizing Linked Data,
    - natural language interfaces

 Paper Submission Deadline   August 27, 2010, 23.50 Hawaii time
 Acceptance Notification       September 17, 2010
 Camera Ready                   October 7, 2010
 COLD Workshop               November 8, 2010

We seek full technical research papers only with a length of up to 12 pages. 
Paper submissions must be formatted in the style of the Springer Publications 
format for Lecture Notes in Computer Science (LNCS), please see 

Please submit your paper via EasyChair at 

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.

Olaf Hartig
  Database and Information Systems Research Group
  Humboldt-Universitšt zu Berlin, Germany

Andreas Harth
  Institut AIFB
  Karlsruhe Institute of Technology, Germany

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

 Web: http://consuminglinkeddata.org/COLD2010
 Email: cold.org.ws@googlemail.com
 Phone: +49 30 2093-3022 
 Fax: +49 30 2093-3010

Received on Friday, 13 August 2010 08:20:21 UTC