Consuming Linked Data


Sunday, October 23rd - 09:00-18:00 - Room: Reger

The quantity of published Linked Data is increasing dramatically. However, applications that consume Linked Data are not yet widespread. Current approaches lack 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. Following the success of the 1st International Workshop on Consuming Linked Data, we organize the second edition of this workshop in order 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.

Find further information on the workshop's website.

Accepted Workshop Papers

Daniel M. Herzig and Thanh Tran. One Query to Bind Them All

Magnus Stuhr, Dumitru Roman and David Norheim. LODWheel – JavaScript-based Visualization of RDF Data

Valentina Presutti, Lora Aroyo, Alessandro Adamou, Balthasar Schopman, Aldo Gangemi and Guus Schreiber. Extracting core knowledge from Linked Data

Elena Simperl, Barry Norton and Denny Vrandecic. Crowdsourcing tasks within Linked Data management

Benjamin Zapilko and Brigitte Mathiak. Extracting Structure and Information from Distributed Linked Data for Statistical Analysis

Florian Schmedding. Incremental SPARQL Evaluation for Query Answering on Linked Data

Fouad Zablith, Mathieu D'Aquin, Stuart Brown and Liam Green-Hughes. Consuming Linked Data within a Large Educational Organization

Khadija Elbedweihy, Suvodeep Mazumdar, Amparo E. Cano, Stuart N. Wrigley and Fabio Ciravegna. Identifying Information Needs by Modelling Collective Query Patterns

Xingjian Zhang and Jeff Heflin. Using Tag Clouds to Quickly Discover Patterns in Linked Data Sets

Olaf Görlitz and Steffen Staab. SPLENDID: SPARQL Endpoint Federation Exploiting VOID Descriptions

Andreas Schultz, Andrea Matteini, Robert Isele, Christian Bizer and Christian Becker. LDIF - Linked Data Integration Framework

Peter Haase, Michael Schmidt and Andreas Schwarte. The Information Workbench as a Self-Service Platform for Linked Data Applications

Marcus Cobden, Jennifer Black, Nicholas Gibbins, Les Carr and Nigel Shadbolt. A Research Agenda for Linked Closed Dataset

Julia Hoxha, Anisa Rula and Basil Ell. Towards Green Linked Data


Organizing Committee

Programme Committee