IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v59y2008i13p2171-2185.html
   My bibliography  Save this article

Object‐fuzzy concept network: An enrichment of ontologies in semantic information retrieval

Author

Listed:
  • Silvia Calegari
  • Elie Sanchez

Abstract

This article shows how a fuzzy ontology‐based approach can improve semantic documents retrieval. After formally defining a fuzzy ontology and a fuzzy knowledge base, a special type of new fuzzy relationship called (semantic) correlation, which links the concepts or entities in a fuzzy ontology, is discussed. These correlations, first assigned by experts, are updated after querying or when a document has been inserted into a database. Moreover, in order to define a dynamic knowledge of a domain adapting itself to the context, it is shown how to handle a tradeoff between the correct definition of an object, taken in the ontology structure, and the actual meaning assigned by individuals. The notion of a fuzzy concept network is extended, incorporating database objects so that entities and documents can similarly be represented in the network. Information retrieval (IR) algorithm, using an object‐fuzzy concept network (O‐FCN), is introduced and described. This algorithm allows us to derive a unique path among the entities involved in the query to obtain maxima semantic associations in the knowledge domain. Finally, the study has been validated by querying a database using fuzzy recall, fuzzy precision, and coefficient variant measures in the crisp and fuzzy cases.

Suggested Citation

  • Silvia Calegari & Elie Sanchez, 2008. "Object‐fuzzy concept network: An enrichment of ontologies in semantic information retrieval," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2171-2185, November.
    • Handle: RePEc:bla:jamist:v:59:y:2008:i:13:p:2171-2185
    DOI: 10.1002/asi.20945
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.20945
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.20945?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:bla:jamist:v:59:y:2008:i:13:p:2171-2185. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.