Proceedings of the 2nd international workshop on Information quality in information systems

Abstract

The problem of poor data quality stored in database-backed information systems is widespread in the governmental, commercial and industrial environments. Alarming situations with various information quality problems can not be ignored anymore and theoretical as well as pragmatic approaches are urgently needed to be proposed and validated. As a consequence, information quality is now becoming one of the hot topics of emerging interest in the academic and industrial communities.Many processes and applications (such as information system integration, information retrieval, and knowledge discovery from databases) require various forms of data preparation or repair with several data processing techniques, because the data input to the application-dedicated algorithms is assumed to conform to nice data distributions, containing no missing, inconsistent or incorrect values. This leaves a large gap between the available "dirty" data and the available machinery to process the data for application purposes.The Second Edition of the International Workshop IQIS 2005 (Information Quality in Information Systems) is held in Baltimore, MD, USA, on June 17, 2005. The workshop is sponsored by ACM and in conjunction with the Symposium on Principles of Database System (PODS) and the ACM SIGMOD International Conference on Management of Data. IQIS workshop focuses on database-centric issues in data quality (scalability, quality-aware query processing, applications like data integration). It intends to address methods, techniques of massive data processing and analysis, methodologies, new algorithmic approaches or frameworks for designing data quality metrics in order to understand and to explore data quality, to end data glitches (as data quality problems such as duplicates, errors, outliers, contradictions, inconsistencies, etc.) and to ensure both data and information quality of database-backed information systems.The 11 papers collected in this volume, out of 26 papers that were submitted (with 10 short papers and 16 research papers), are a significant sample of recent achievements in the various areas of information and data quality, ranging from quality models to record linkage and statistical techniques.