Abstract
Object-oriented databases (OODBs) are in many ways a better match
for scientific data management than conventional record-oriented
database systems. User-defined datatypes reduce the encoding going from
a scientific domain to the database. Direct support for complex objects
is useful for capturing hierarchical structures, such as molecules.
OODBs generally have collection types, such as lists and arrays, that
are a better basis than sets for the dimensional data common in
scientific applications. Their inherent extensibility seems a good match
for handling new kinds of metadata, and having behavior definable in the
database permits transparent access to existing data in multiple formats
via a common object model. We describe our experiences with using BODBs
for scientific data, in the domains of computational chemistry, and
materials science. We deal with areas that need improvement for OODBs to
support scientific applications
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
