LDQ 2014 - Workshop on Linked Data Quality

Since the start of the Linked Open Data Cloud, we have seen an unprecedented volume of structured data published on the web, in most cases as RDF and Linked (Open) Data. The quality of these datasets can hardly be better than the original data source. We see datasets originating from crowdsourced sources like Wikipedia and OpenStreetMap and highly curated sources e.g. from the library domain. Quality is of course fitness for use, thus DBpedia currently can be appropriate for a simple end-user application but could never be used in the medical domain for treatment decisions. However, quality is a key to the success of the data web and a major barrier for further industry adoption.
The goal of the workshop on Linked Data Quality Assurance is to raise the awareness of quality issues in Linked Data and to promote approaches to improve Linked Data quality.
Topics
List of topics include, but are not limited to:
approaches targeting Linked Data in the areas of:
quality assessment
inconsistency detection
cleansing, error correction, refinement
versioning
reputation and trustworthiness of web resources
quality of ontologies
quality modelling vocabularies
frameworks for testing and evaluation
data validators
best practices for Linked Data management
user experience
empirical studies
Important Dates
Submission of research papers: July 4, 2014
Notification of paper acceptance: July 18, 2014
Submission of camera-ready papers: August 18, 2014