Call for Papers

This workshop aims to bring researchers and practitioners together from both Semantic Web and Data Quality research communities, especially the audience whose research interests are across the two communities. Industry and academic researchers in general are also included to the workshop's audience, as well as the people whose projects are dealing with Semantic Web data.

We are inviting full research papers, short position papers, and hands-on demonstrations. Topics of interest include, but are not limited to:

Data quality management approaches in Semantic Web Ontology-based data quality management Quality of Linked Data Semantic data integration Data cleansing in Semantic Web Natural language processing for data quality management Provenance-aware data quality SPARQL and data quality assessment Measuring data quality with semantic technologies Improving quality of RDF data Data governance for Semantic Web Semantic data quality model and application Information value in Semantic Web Semantic Web applications for data quality management Frameworks that assess, analyze, and improve semantic data quality