• DocumentCode
    2154802
  • Title

    Extending EER Modeling Concepts for Biological Data

  • Author

    Elmasri, Ramez ; Ji, Feng ; Fu, Jack ; Zhang, Yiming ; Raja, Zoe

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Texas Univ., Arlington, TX
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    599
  • Lastpage
    604
  • Abstract
    Biological data such as protein structure and function, DNA sequences, and metabolic pathways require conceptual modeling characteristics that are not available in the widely used ER (entity-relationship) model and its variant the EER (enhanced-ER) model. In this paper, we suggest a solution to this problem, requiring only minimal changes to the EER model by introducing specialized formal relationships for ordering, input/output processes and spatial structure. These changes facilitate more accurate modeling of biological ontologies, their structures, and mediator systems. We propose new EER schema constructs to represent the ordering of DNA sequences, the structure of proteins, and the processes of metabolic pathways
  • Keywords
    DNA; biology computing; entity-relationship modelling; molecular biophysics; molecular configurations; physiological models; proteins; DNA sequences; EER modeling; biological data; enhanced entity-relationship model; input/output processes; metabolic pathways; ordering; protein function; protein structure; spatial structure; Biological information theory; Biological system modeling; Bonding; DNA; Data models; Erbium; Ontologies; Power system modeling; Proteins; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2517-1
  • Type

    conf

  • DOI
    10.1109/CBMS.2006.86
  • Filename
    1647636