Sixth International Workshop on Consuming Linked Data (COLD2015)

October 12th, 2015, Full-Day
Bethlehem, Pennsylvania, US
[News] - [Important Dates] - [Objectives] - [Topics] - [Submissions] - [Chairs] - [Programme Committee] - [Accepted Papers] - [Proceedings] - [Programme] - [Keynote] - [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 14th International Semantic Web Conference (ISWC) in Bethlehem, Pennsylvania, US.


Important Dates


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.

Open issues include (but are not limited to) 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 6th International Workshop on Consuming Linked Data (COLD 2015) 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 and/or formal results) of broadly-applicable concepts and approaches.

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 COLD 2015 we aim to continue steering 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:

In the context of these two aspects of Linked Data consumption, relevant topics for COLD 2015 include but are not limited to:


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 anonymised, 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.



Accepted Papers


The workshop proceedings are online as CEUR-WS Vol-1426.


Session 1: Welcome and Keynote (09:00–10:30)

Coffee (10:30–11:00)

Session 2: Research Track I (11:00–12:30)

Lunch (12:30–14:00)

Session 3: Research Track II (14:00–15:30)

Coffee (15:30–16:00)

Session 4: Discussion – Consuming Linked Data: The Workshop and the Field – Hosted by Jim Hendler (16:00–17:30)

COLD Beers (Evening)


Title: Why do they call it Linked Data when they want to say...

Speaker: Oscar Corcho


The four Linked Data publishing principles established in 2006 seem to be quite clear and well understood by people inside and outside the core Linked Data and Semantic Web community. However, not only when discussing with outsiders about the goodness of Linked Data but also when reviewing papers for the COLD workshop series, I find myself, in many occasions, going back again to the principles in order to see whether some approach for Web data publication and consumption is actually Linked Data or not. In this talk we will review some of the current approaches that we have for publishing data on the Web, and we will reflect on why it is sometimes so difficult to get into an agreement on what we understand by Linked Data. Furthermore, we will take the opportunity to describe yet another approach that we have been working on recently at the Center for Open Middleware, a joint technology center between Banco Santander and Universidad Politécnica de Madrid, in order to facilitate Linked Data consumption.

Speaker Bio:

Oscar Corcho is an Associate Professor at Departamento de Inteligencia Artificial (Facultad de Inform´tica , Universidad Politécnica de Madrid) , and he belongs to the Ontology Engineering Group.

His research activities are focused on Semantic e-Science and Real World Internet, although he also works in the more general areas of Semantic Web and Ontological Engineering. In these areas, he has participated in a number of EU projects (DrInventor, Wf4Ever, PlanetData, SemsorGrid4Env, ADMIRE, OntoGrid, Esperonto, Knowledge Web and OntoWeb), and Spanish R&D projects (CENITS mIO!, España Virtual and Buscamedia, myBigData, GeoBuddies), and has also participated in privately-funded projects like ICPS (International Classification of Patient Safety), funded by the World Health Organisation, and HALO, funded by Vulcan Inc.

Previously, he worked as a Marie Curie research fellow at the University of Manchester, and was a research manager at iSOCO. He holds a degree in Computer Science, an MSc in Software Engineering and a PhD in Computational Science and Artificial Intelligence from UPM. He was awarded the Third National Award by the Spanish Ministry of Education in 2001.

He has published several books, from which 'Ontological Engineering' can be highlighted as it is being used as a reference book in a good number of university lectures worldwide, and more than 100 papers in journals, conferences and workshops. He usually participates in the organisation or in the programme committees of relevant international conferences and workshops.


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


COLD 2015 is the sixth edition of the Consuming Linked Data workshop series. Previous editions include COLD 2014, COLD 2013, COLD 2012, COLD 2011, and COLD 2010.

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