Information and Computing Sciences Division
Lawrence Berkeley National Laboratory
Berkeley, CA 94720, USA
Email: VMMarkowitz@lbl.gov
July 13th, 1995
Abstract:
Scientific data are often scattered among heterogenous data
repositories. Exploring data across multiple data repositories
requires the ability of understanding and correlating their structures
(schemas). Such correlations need to address the diversity of views
of the scientific domain represented by different data repositories
as well as the diversity of data modeling languages used for
expressing these views.
We briefly examine several data models that are currently employed
for specifying molecular biology databases in the context of a
reference data model and discuss the problem of converting schemas
between these data models.
