Database Systems

We are investigating fundamental research issues for the next generation of highly scalable, high performance database and decision support systems. Our research stretches from low-level data access layers of relational database systems to high-level semantic reasoning.

Active Projects

  ·  Efficient Data Access Methods for RDBMS  We are researching novel data storage and retrieval as well as statistics collection techniques for disk-based and potentially highly parallel RDBM systems
  ·  Information Integration and Business Intelligence  We are exploring mechanisms for combining data from different sources with the goal of providing a richer set of information for data mining and business intelligence applications
  ·  Semi-structured and Un-structured Data Access  We are investigating methods to store, index, and retrieve semi-structured XML and WWW documents in large document repositories.
  ·  XML Storage Manager  The XML storage manager is responsible with the physical layout of the XML data in disk pages and provides direct access to the data