IDEAS home Printed from https://ideas.repec.org/a/eee/worpat/v11y1989i2p76-82.html
   My bibliography  Save this article

The model of stratificational structure of patent information retrieval language

Author

Listed:
  • Fen, Zheng

Abstract

The basic concepts of a patent information retrieval system are outlined and the basic features of a new system called the model of stratificational structure (MMS) are described. It comprises a general subject classification schedule having eight sections, A-H, similar to the IPC sections and a categorical subject classification schedule with sections M S and U covering, respectively, method or process, structure or function and use or action. The system is thus a type of hybrid system in which subjects of invention are classified on the first schedule and details of method, structure or use are indexed on the second schedule. The advantages of such a system over the IPC are discussed along with suggestions as to how it could be used to provide an improved IPC.

Suggested Citation

  • Fen, Zheng, 1989. "The model of stratificational structure of patent information retrieval language," World Patent Information, Elsevier, vol. 11(2), pages 76-82.
  • Handle: RePEc:eee:worpat:v:11:y:1989:i:2:p:76-82
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0172-2190(89)90209-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:eee:worpat:v:11:y:1989:i:2:p:76-82. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/654/description#description .

    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.