Data Quality in Information Integration

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Electronic data is fundamental in all relationship between governments, businesses, and citizens. Ensuring quality of such data is a significant practical as well as research problem. This problem is particularly difficult in the context of information integration where the users do not necessarily own the data sources they access. In this project we will address several problems related to data quality. First, we will investigate methods to measure trust in information sources. Second, we will design algorithms for processing queries where the quality of the answer rather than its cost is the primary goal. Third, we will design formal methods to specify quality constraints one may want to impose on the data. Fourth, we will investigate the role a context plays in cleaning the data.