The 12th International Semantic Web Conference
and the 1st Australasian Semantic Web Conference
21-25 October 2013, Sydney, Australia

COLD 2013

4th International Workshop on Consuming Linked Data (COLD2013) - 2013 Special Theme: Towards Industrial Linked Data Ecosystems

4th International Workshop on Consuming Linked Data - 2013 Special Theme: Towards Industrial Linked Data Ecosystems

Workshop webpage

Organizing committee


The quantity of published Linked Data continues to increase. However, applications that exploit Linked Data are not yet widespread. Reasons may include a lack of suitable solutions for a number of open problems. The diversity and dynamics of LOD sources have brought new challenges in seamless data integration, dynamic discovery, provenance tracking, and quality assessment at the Web scale. Addressing these issues requires joint community efforts from both LOD provision and consumption perspectives, including the development and investigation of concepts that can lead towards the realisation of a sustainable Linked Data ecosystem. The objective of this workshop is to provide a focused venue for academic and industrial discussions on concepts, algorithms, infrastructure and tools (including systematic analysis and rigorous evaluation) that help to exploit Linked Data (and not just to produce it).

Tuesday - Oct 22 - SMC



[Full Day]

9:00 - 10:30

09:00-09:10: Workshop Introduction

09:10-10:10: Keynote: Consuming Linked Data at the BBC - Yves Raimond

Abstract: The BBC consumes a large amount of Linked Data, aggregated from a mixture of external, internal and commercial data sources, both for managing parts of its web site and for data mining projects. In this talk we are going to talk about various uses of Linked Data at the BBC and about some of the challenges we encountered.

Query track

10:10-10:30: Domingo De Abreu, Alejandro Flores, Guillermo Palma, Valeria Pestana, Jose Pinero, Jonathan Queipo, Jose Sanchez and Maria-Esther Vidal. Choosing Between Graph Databases and RDF Engines for Consuming and Mining Linked Data

10:30 - 11:00 Morning Tea
11:00 - 12:45

11:00-11:20: Camille Pradel, Ollivier Haemmerlé and Nathalie Hernandez. Natural Language Query Translation into SPARQL using Patterns

11:20-11:40: Christian Y. A. Brenninkmeijer, Carole Goble, Alasdair J. G. Gray, Paul Groth, Antonis Loizou and Steve Pettifer. Including Co-referent URIs in a SPARQL Query

Dynamic track

11:40-12:00: Andreas Harth, Craig Knoblock, Steffen Stadtmüller, Rudi Studer and Pedro Szekely. On-the-fly Integration of Static and Dynamic Linked Data

12:00-12:20: Renata Dividino, Ansgar Scherp, Gerd Gröner and Thomas Grotton. Change-a-LOD: Does the Schema on the Linked Data Cloud Change or Not?

12:20-12:40: Sam Coppens, Ruben Verborgh, Erik Mannens and Rik Van de Walle. Self-Sustaining Platforms: a Semantic Workflow Engine

12:45 - 13:45 Lunch
13:45 - 15:30

Meta track

13:45-14:05: Monika Solanki and Christopher Brewster. Consuming Linked data in Supply Chains: Enabling data visibility via Linked Pedigrees

14:05-14:25: Michael Schmidt and Georg Lausen. Pleasantly Consuming Linked Data with RDF Data Descriptions

14:25-14:45: Timothy Lebo, Alvaro Graves and Deborah McGuinness. Content-Preserving Graphics

14:45-15:05: Martin G. Skjæveland and Audun Stolpe. Bounds: Expressing Reservations about Incoming Data

Position track

15:05-15:20: Fadi Maali and Stefan Decker. Towards an RDF Analytics Language: Learning from Successful Experiences

15:30 - 16:00 Afternoon Tea
16:00 - 17:30

16:00-16:15: Víctor Rodríguez Doncel, Asunción Gómez-Pérez and Nandana Mihindukulasooriya. Rights declaration in Linked Data

16:15-16:30: Masatomo Goto, Bo Hu, Aisha Naseer and Pierre-Yves Vandenbussche. Linked Data for Financial Reporting

16:30-16:45: Nandana Mihindukulasooriya, Raúl García Castro and Miguel Esteban Gutiérrez. Linked Data Platform as a novel approach for Enterprise Application Integration

Panel Session

16:45-17:45: Enterprise Linked Data

  • Yves Raimond, BBC
  • Pascal Hitzler, Wright State Uni
  • Peter Mika, Yahoo!
  • Spyros Kotoulas, IBM Research