Data Quality on the Web ( Objectives and Goals of the Seminar )

The aim of this paper is to provide participants of the seminar with some background information on the general notion of data quality (DQ), to illustrate a few agreed-upon and frequently used concepts and definitions, and to detail open problems to be addressed during the seminar. The paper is not meant as complete and comprehensive overview of all aspects related to data quality in the context of databases, information systems or the Web. It is rather intended to provide the participants with a basis for the seminar, outline specific foci, and raise questions and problems to be addressed extensively (and hopefully solved) during the seminar. In the following Section 2, we will summarize some basic settings, definitions, and concepts commonly used in the context of data quality. We will also give some references to relevant literature that discusses these aspects in more detail. In Section 3, we detail a list of questions that arise when data quality is of concern. In Section 4, we then propose some application domains and scenarios in which these questions are to be studied and solutions are to be developed. Both the list of DQ questions and application domains and settings are by no means complete, but should illustrate the depth and breadth we expect data quality aspects in different settings to be covered. In Section 5, we summarize the objectives and outcomes to be taken into account by the working groups.

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