• DocumentCode
    3357166
  • Title

    Meta data-a key to data acquisition and information retrieval

  • Author

    Reusch, Peter J A

  • Author_Institution
    Fachhochschule Dortmund, Germany
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    220
  • Lastpage
    223
  • Abstract
    Meta data have a long tradition in several areas. Meta data help to structure data or documents and to classify the contents. It is important to recognize the power of existing meta data (thesauri, classifications, etc.) and to use such meta data and to expand such meta data for advanced data acquisition and information retrieval. To expand meta data modern learning systems should be used and an open communication model that integrates different aspects of data and meta data. Results of an information retrieval project are described and a new multi-level model of meta data is introduced
  • Keywords
    classification; data acquisition; information retrieval; learning systems; meta data; classification; data acquisition; data structuring; document structuring; information retrieval; learning systems; meta data; multi-level model; open communication model; Books; Content based retrieval; Data acquisition; Databases; History; Humans; Information retrieval; Learning systems; Libraries; Thesauri;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, International Workshop on, 2001.
  • Conference_Location
    Crimea
  • Print_ISBN
    0-7803-7164-X
  • Type

    conf

  • DOI
    10.1109/IDAACS.2001.942017
  • Filename
    942017