Database Systems
| Research Areas -> Software Systems -> Database Systems |
| Overview |
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Research is focused on building the data management infrastructure for the twenty-first century, with particular emphasis on issues surrounding the internet (including XML, text mining, database design, data integration, security), main memory databases, object-relational databases, mobile databases, on issues of data warehousing and data mining, and on the effective integration and efficient querying of biological data. In particular, we have a very strong bioinformatics effort.
We also address some of the challenges in making database systems more usable. Database researchers have striven to improve the capability of a database in terms of both performance and functionality, while usability has largely taken the back seat. At least partly in consequence, modern database systems are very difficult to use. Our approach is to understand at a fundamental level what it is about the data model and representation that make it hard to use and query. Our results range from introducing the notion of a qunit (or query unit), through the concept of schema summarization for complex schema, and algebras for form creation, to natural language interfaces for database query. |
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Faculty Cafarella, Michael J. Jagadish, H V LeFevre, Kristen R. Affiliated Faculty Teorey, Toby Related Labs, Centers, and Groups Database Research Group NIH National Center for Integrative Biomedical Informatics at U-M Software Systems Laboratory U-M Center for Computational Medicine and Biology |
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