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 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 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 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 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 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 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 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:
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 submit your paper via EasyChair at http://www.easychair.org/conferences/?conf=cold2010
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 proceedings.
Proceedings will be published online at CEUR-WS.
The workshop will be co-located with the 9th International Semantic Web Conference (ISWC) in Shanghai, China, and will be held on November 8, 2010.
The workshop will also consist of:
The role of the steering committee is to offer help and advice to the workshop organizing committee in matters of the overall technical organization. Members of the steering committee are:
For further information about the workshop, please contact the workshops chairs at cold.org.ws@googlemail.com