Call for Papers
The Quality in Databases (QDB) workshop is a qualified forum for presenting and discussing novel ideas and solutions related to the problems of exploring, assessing, monitoring, improving, and maintaining the quality of data. Specific topics include, but are not limited to, the following:
- Data quality dimensions, models and algebra
- Duplicate detection and entity resolution
- Data quality in data integration and fusion
- Quality-aware query languages and query processing techniques
- Data scrubbing, data standardization, data cleaning techniques
- Data quality mining, data preparation and anomaly detection
- Data quality in multi-database or extra-large database settings
- Role of metadata and lineage in data quality evaluation
- Quality of information on the Web
- Quality of scientific, geographical, multimedia or stream data
- Privacy-preserving data quality management
- Data quality tools and benchmarks