Fifth International Workshop on Consuming Linked Data (COLD2014)

Monday October 20, 2014
Riva del Garda Fierecongressi
Riva del Garda, Italy
[News] - [Important Dates] - [Accepted Papers] - [Objectives] - [Program] - [Topics] - [Proceedings] - [Submissions] - [Committees] - [Contact] - [History]


The quantity of published Linked Data continues to increase. However, applications that consume Linked Data are not yet widespread. Reasons may include a lack of suitable methods for a number of open problems, including the 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. Our 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 workshop will be co-located with the 13th International Semantic Web Conference (ISWC) in Riva del Garda, Italy. Networked communication will be encouraged during the workshop using IRC, microblogging and other services, provided with the official hashtag  #cold2014 to follow the live-stream of the event.


  • 2014-08-29: The ISWC2014 program has been published. COLD2014 will take place on Monday October 20.
  • 2014-07-05: We have extended the submission deadline by 1 week. Abstracts are due July 7 and papers are due July 14
  • 2014-04-22: The workshop has been accepted for ISWC 2014.

Important Dates

  • Abstract submission deadline: July 1, 2014 July 7, 2014, 23.59 Hawaii time
  • Paper submission deadline: July 7, 2014 July 14, 2014, 23.59 Hawaii time
  • Acceptance notification: July 30, 2014
  • Camera-ready versions of accepted papers: August 20, 2014
  • Workshop date: October 20, 2014

Accepted Papers


The term Linked Data refers to a set of foundational principles for publishing and interlinking structured data on the Web. After Linked Data was first proposed in 2006, a grass-roots movement, led by the Linking Open Data project, started to publish and to interlink multiple open databases on the Web following the proposed 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, BestBuy, Getty, the US and UK government – have since adopted this practice. This ongoing effort resulted in bootstrapping the “Web of Linked Data” which, today, comprises of billions of RDF triples and millions of RDF links between datasets. The published datasets now include data about books, movies, music, radio and television programs, reviews, scientific publications, genes, proteins, diseases, medicine and clinical trials, geographic locations, people, statistical and census data, companies, and many more topics besides.

All of these published datasets are openly available on the Web in standardised interoperable formats, which presents novel opportunities for the next generation of Web-based applications: data from different providers can be aggregated, allowing fragmentary information from multiple sources to be integrated so as to achieve a complementary and 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. Such “harvesting approaches” are typically only feasible for vertical applications tied to specific datasets, incur a high up-front cost, and are insensitive to updates in the original data-sources. New concepts for consuming Linked Data – that do not require up-front harvesting of all sources – are required to lead the Web of Linked Data to its fullest and most general potential. The concepts, patterns, and tools necessary are very different from situations where relevant resource identifiers are known a priori, where queries can be run over complete local repositories, where access to the repository is reliable and cheap, and where relevant data sources are known to be trustworthy.

While recent tutorials provided technical insight and skills on how to consume Linked Data in applications, these tutorials also drew attention to several open issues that make the development of Linked Data based applications a challenging or still impossible task. These open issues include a 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, for querying and caching dynamic remote sources, and for implementing 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 5th International Workshop on Consuming Linked Data (COLD 2014) aims to provide a platform for the presentation and discussion of such approaches. Our main objective is to attract submissions that present scientific discussion (including systematic evaluation) of broadly-applicable concepts and approaches, as opposed to exposition of features implemented in current Linked Data 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.


META track

VISUAL track


WEB track




Topics of Interest

While previous editions of the workshop have attracted a number of submissions that addressed topics related to (RDF and) Linked Data management in general, with COLD2014 we aim to steer the workshop back towards the aforementioned core goals. To this end, we explicitly seek submissions that address research problems related to at least one of the following two aspects of Linked Data consumption:

  • Makes use of Linked Data principles, including dereferencing
  • Involves direct use of multiple, real-world Linked Datasets
In the context of these two aspects of Linked Data consumption, relevant topics for COLD 2014 include but are not limited to:
  • Live Linked Data (i.e., algorithms and applications that make use of Linked Data at runtime)
  • Architectures for consuming Linked Data (e.g., Dataspaces, Cloud, NoSQL)
  • Integration of Linked Data sources (e.g., entity resolution, sameas, vocabulary mapping, etc.)
  • Handling additional Web data (e.g., Deep Web, APIs, Microdata, JSON, Atom, tables, etc.)
  • Web-scale data management (e.g., crawling, indexing, parallel processing, etc.)
  • Novel languages for navigating and consuming Linked Data (e.g., nSPARQL, NautiLOD, etc)
  • Linked Data summarization, guides and schema learning
  • Query processing over multiple Linked Datasets
  • Search over the Web of Linked Data
  • Auto-discovery of URIs and data
  • Caching and replication
  • Dataset dynamics
  • Reasoning on Linked Data from multiple sources
  • Information quality and trustworthiness of Linked Data
  • User-interface research for interacting with the Web of Linked Data


We seek novel technical research papers in the context of consuming Linked Data 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

Submissions that do not comply with the formatting of LNCS or that exceed the 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 to be published in the proceedings. Proceedings will be published online at CEUR-WS. We also encourage supplementary Web-based material (e.g., XHTML+RDFa versions of papers) to be submitted alongside PDFs. This material will be published on the workshop website.


The workshop proceedings are online as CEUR-WS Vol-1264.

Organizing Committee

Program Committee


For further information about the workshop, please contact the workshops chairs at


COLD 2014 is the fifth edition of the Consuming Linked Data workshop series. Previous editions are COLD 2013, COLD 2012, COLD 2011, and COLD 2010.

Contains RDFa