IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-33389-7_75.html
   My bibliography  Save this book chapter

Adaptive Information Integration: Bridging the Semantic Gap between Numerical Simulations

In: Automation, Communication and Cybernetics in Science and Engineering 2011/2012

Author

Listed:
  • Tobias Meisen

    (RWTH Aachen University, IMA/ZLW)

  • Philipp Meisen
  • Daniel Schilberg

    (RWTH Aachen University, IMA/ZLW)

  • Sabina Jeschke

Abstract

The increasing complexity and costs of modern production processes make it necessary to plan processes virtually before they are tested and realized in real environments. Therefore, several tools facilitating the simulation of different production techniques and design domains have been developed. On the one hand there are specialized tools simulating specific production techniques with exactness close to the real object of the simulation. On the other hand there are simulations which simulate whole production processes, but in general do not achieve prediction accuracy comparable to such specialized tools. Hence, the interconnection of tools is the only way, because otherwise the achievable prediction accuracy would be insufficient. In this chapter, a framework is presented that helps to interconnect heterogeneous simulation tools, considering their incompatible file formats, different semantics of data and missing data consistency.

Suggested Citation

  • Tobias Meisen & Philipp Meisen & Daniel Schilberg & Sabina Jeschke, 2013. "Adaptive Information Integration: Bridging the Semantic Gap between Numerical Simulations," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2011/2012, edition 127, pages 1035-1051, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-33389-7_75
    DOI: 10.1007/978-3-642-33389-7_75
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-642-33389-7_75. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.