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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...

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...

Data profiling refers to the activity of collecting data about data, {i.e.}, metadata. Most IT professionals and researchers who work with data have engaged in data profiling, at least informally, to understand and explore an unfamiliar dataset or to determine whether a new dataset is appropriate for a particular task at hand. Data profiling results are also important in a variety of other situations, including query optimization, data integration, and data cleaning. Simple metadata are statistics, such as the number of rows and columns, schema and datatype information, the number of distinct...