IDEAS home Printed from https://ideas.repec.org/a/aes/infoec/v14y2010i4p147-155.html
   My bibliography  Save this article

The Evaluation of Ontology Matching versus Text

Author

Listed:
  • Andreea-Diana MIHIS

Abstract

Lately, the ontologies have become more and more complex, and they are used in different domains. Some of the ontologies are domain independent; some are specific to a domain. In the case of text processing and information retrieval, it is important to identify the corresponding ontology to a specific text. If the ontology is of a great scale, only a part of it may be reflected in the natural language text. This article presents metrics which evaluate the degree in which an ontology matches a natural language text, from word counting metrics to text entailment based metrics.

Suggested Citation

  • Andreea-Diana MIHIS, 2010. "The Evaluation of Ontology Matching versus Text," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 14(4), pages 147-155.
    • Handle: RePEc:aes:infoec:v:14:y:2010:i:4:p:147-155
    as

    Download full text from publisher

    File URL: http://revistaie.ase.ro/content/56/14%20-%20Mihis.pdf
    Download Restriction: no
    ---><---

    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:aes:infoec:v:14:y:2010:i:4:p:147-155. 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: Paul Pocatilu (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.