DocumentCode :
3430487
Title :
Developing and accessing scientific databases with the OPM data management tools
Author :
Chen, I-Min A. ; Kosky, Anthony ; Markowitz, Victor M. ; Szeto, Ernest
Author_Institution :
Inf. & Comput. Sci. Div., Lawrence Berkeley Lab., CA, USA
fYear :
1997
fDate :
7-11 Apr 1997
Firstpage :
580
Abstract :
Summary form only given. The Object-Protocol Model (OPM) data management tools provide facilities for rapid development, documentation, and flexible exploration of scientific databases. The tools are based on OPM, an object-oriented data model which is similar to the ODMG standard, but also supports extensions for modeling scientific data. Databases designed using OPM can be implemented using a variety of commercial relational DBMSs, using schema translation tools that generate complete DBMS database definitions from OPM schemas. Further, OPM schemas can be retrofitted on top of existing databases defined using a variety of notations, such as the relational data model or the ASN.1 data exchange format, using OPM retrofitting tools. Several archival molecular biology databases have been designed and implemented using the OPM tools, including the Genome Database (GDB) and the Protein Data Bank (PDB), while other scientific databases, such as the Genome Sequence Database (GSDB), have been retrofitted with semantically enhanced views using the OPM tools
Keywords :
data structures; object-oriented databases; protocols; query processing; relational databases; scientific information systems; software engineering; system documentation; ASN.1 data exchange format; Genome Database; Genome Sequence Database; ODMG standard; OPM retrofitting tools; Object-Protocol Model data management tools; Protein Data Bank; archival molecular biology databases; commercial relational DBMS; flexible scientific database exploration; object-oriented data model; relational data model; schema translation tools; scientific data modelling; scientific database access; scientific database development; scientific database documentation; semantically enhanced views; Bioinformatics; Data models; Database languages; Genomics; HTML; Object oriented databases; Object oriented modeling; Relational databases; Sequences; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 1997. Proceedings. 13th International Conference on
Conference_Location :
Birmingham
ISSN :
1063-6382
Print_ISBN :
0-8186-7807-0
Type :
conf
DOI :
10.1109/ICDE.1997.582034
Filename :
582034
Link To Document :
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