Data Modeling and Data Management for the Biological Enterprise

Abstract

Data models appropriate for capturing both complex structure and function Ability to model heterogeneity and semi-structured data Scalable access to large amounts of data that is often stored at remote sources, is accessible via WANS, and is managed by autonomous servers Support for scientific exploration of both metadata and data Support for non-traditional processing, for example, pattern matching on complex structures; ranking, filtering and data mining on multi-modal data