• DocumentCode
    3051402
  • Title

    The Identification Problem: A Description

  • Author

    Amiguet-Vercher, Juan ; Apers, Peter ; Wombacher, Andreas

  • Author_Institution
    Database Group, Univ. of Twente, Enschede, Netherlands
  • fYear
    2012
  • fDate
    24-29 June 2012
  • Firstpage
    33
  • Lastpage
    40
  • Abstract
    Scientific data are often annotated based on their properties, which are not maintained during further data processing. Not maintaining annotations results in loss of information. Decisions made on such incomplete information may be wrong. In this paper the problem of propagating annotations along a data processing chain is formulated. In particular, an annotation of a data element is an identification that this data element exhibits a specific property. The propagation of this property from the input of an operation to its output is called the identification problem. In this paper the identification problem is described as a clustering problem.
  • Keywords
    data handling; pattern clustering; scientific information systems; annotation propagation problem; clustering problem; data element annotation; data identification problem; data processing chain; incomplete information; information loss; scientific data annotation; Data processing; Data structures; Interpolation; Maintenance engineering; Sensors; Topology; Transforms; data identification; data processing; meta-data; operation; workflows;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services (SERVICES), 2012 IEEE Eighth World Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-1-4673-3053-4
  • Type

    conf

  • DOI
    10.1109/SERVICES.2012.10
  • Filename
    6274029