Database Research at the IBM T.J. Watson Research Center

Our group is part of the Business Informatics Department of the IBM T.J. Watson Research Center. 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. Our activities can be classified in three major areas:

	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 Unstructured Data Storage and Retrieval With an increasing amount of data being captured with partial or no structure, efficient and meaningful access to this data becomes paramount. We are investigating methods to store, index, and retrieve semi-structured XML and WWW documents in large document repositories.
	Efficient Data Access Methods for Relational Databases Most of the beforementioned areas are in some way based on a relational database system such as DB2 for data persistency and access. The development of efficient RDBMS algorithms and data structures is therefore essential for the success of the higher level functionalities. We are researching novel data storage and retrieval as well as statistics collection techniques for disk-based and potentially highly parallel RDBM systems.

About IBM | Privacy | Legal | Contact