• 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