IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789812819079_0003.html
   My bibliography  Save this book chapter

Ontology Matching Approach Based On Triangle Fuzzy Expression

In: Challenges In Information Technology Management

Author

Listed:
  • PENGFEI QIAN

    (Computer Science Department, Shanghai Jiaotong University, 800 Dung Chuan Rd Shanghai, 200240, China)

  • YINGLIN WANG

    (Computer Science Department, Shanghai Jiaotong University, 800 Dong Chuan Rd Shanghai, 200240, China)

Abstract

This paper introduces an ontology mapping approach based on triangle fuzzy expression. This approach imports several kinds of similarity fuzzy expressions based on concept feature information. These similarity fuzzy expressions can be used to extend traditional mapping based on name and instance to composite mapping based on name, instance, attribute, taxonomy, dependence and axiom etc. To implement this approach, two questions should be answered: the first is the unification of all kinds of similarity fuzzy expressions and the second is how to realize the composite mapping based on the unified similarity fuzzy expression. The triangle fuzzy expression is regarded as the criterion of the other similarity fuzzy expressions. After the transformation from the other similarity fuzzy expressions to the triangle fuzzy expression, the unified similarity fuzzy expression is realized. Simultaneously, a mapping computation tree is also introduced to finish the whole composite mapping through a series of weight configuration, unification and synthesis. Finally, associated with traditional non-fuzzy mapping approach, the mapping accuracy of this approach will be evaluated through an application example.

Suggested Citation

  • Pengfei Qian & Yinglin Wang, 2008. "Ontology Matching Approach Based On Triangle Fuzzy Expression," World Scientific Book Chapters, in: Man-Chung Chan & Ronnie Cheung & James N K Liu (ed.), Challenges In Information Technology Management, chapter 3, pages 17-23, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812819079_0003
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789812819079_0003
    Download Restriction: Ebook Access is available upon purchase.
    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789812819079_0003
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

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

    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:wsi:wschap:9789812819079_0003. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.