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.
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
- 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
Submission of abstracts: June 27, 2014
Submission of research papers: July 4, 2014
Notification of paper acceptance: July 18, 2014
Submission of camera-ready papers: August 18, 2014
Workshop date: September 2, 2014, afternoon
Papers should be no more than 8 pages. Please use LaTeX templates and instructions. Papers must be submitted by July 4, 2014. Submit papers via the Easychair submission page: https://www.easychair.org/conferences/?conf=ldq2014.
More details can be found on the workshop website: http://ldq.semanticmultimedia.org/