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For more than three decades, IBM Research has produced major contributions
to the area of data management. This includes E. F. Codd's seminal
work on relational algebra; the System R relational database management
system prototype (which led to IBM's DB2®); ARIES transaction
recovery and logging; Starburst extensible database technology, and
DB2 parallel database technology.
Today, we continue to explore new data management technology in the
areas of data warehousing, object-relational features, digital libraries,
multimedia content management, federated databases, and integration
of structured, semi-structured, and unstructured data, as well as
the emerging areas of e-commerce, Internet, and mobile applications.
More and more of the world's most useful information for traditional business applications, such as enterprise resource planning and business intelligence and for 'non-traditional' applications, such as life sciences and personal information management is either unstructured or semi-structured.
Technologies from many disciplines are needed to derive a comparable level of business value from these data types. The knowledge management team at IBM Almaden Research brings together a broad range of skills across data management, machine learning, XML, text analysis, artificial intelligence and application-enabling middleware to tackle many of the challenges arising from these rapidly expanding information sources.
The research contributions of our projects result not only in patents and papers in leading conferences, but provide a steady stream of technology shipping within IBM products, such as IBM's Content Manager, Lotus Discovery Server, and DB2.
Further information about data management projects can be found at:
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