Felix Naumann – författare

Data profiling refers to the activity of collecting data about data, {i.e.}, metadata.

Data management and data integration are fundamental problems in the life sciences. Advances in molecular biology and molecular medicine are almost u- versallyunderpinned by enormouse?orts in data management,data integration, automatic data quality assurance, and computational data analysis. Many hot topics in the life sciences, such as systems biology, personalized medicine, and pharmacogenomics, critically depend on integrating data sets and applications producedby di?erent experimentalmethods, in di?erent researchgroups,andat di?erent levels of granularity. Despite more than a decade of intensive research in these areas, there remain many unsolved problems. In some respects, these problems are becoming more severe, both due to continuous increases in data volumes and the growing diversity in types of data that need to be managed. And the next big challenge is already upon us: the need to integrate the di?- ent “omics” data sets with the vast amounts of clinical data, collected daily in thousands of hospitals and physicians’ o?ces all over the world. DILS 2006 is the third in an annual workshop series that aims at fostering discussion, exchange, and innovation in research and development in the areas of data integration and data management for the life science. DILS 2004 in Leipzig and DILS 2005 in San Diego each attracted around 100 researchersfrom all over the world. This year the number of submitted papers again increased. The Program Committee selected 23 papers out of 50 strong full submissions.

The Internet and the World Wide Web are becoming increasingly important in our highly interconnected world. This book addresses the topic of querying the data available, with regard to its quality, in a systematic and comprehensive way, from a database point of view. First, information quality and information quality measures are systematically introduced before ranking algorithms are developed for selecting Web sources for access. The second part is devoted to quality-driven query answering, particularly to query planning methods and algorithms. The in-depth presentation of algorithms and techniques for quality-oriented querying will serve as a valuable source of reference for R&D professionals and for IT business people. In addition, the work will provide students with a comprehensible introduction to cutting-edge research.