IDEAS home Printed from https://ideas.repec.org/a/ijs/ijsrse/v2y2016i2idhijsrset1622382.html

ER Model Transformation Using Conceptual Modelling With Description Logic

Author

Listed:
  • Vandana M. Patil

Abstract

Description logic (DL) is a language for knowledge representation which is used to represent the terminological knowledge of an application domain in a structured and well-understood way. Two important features of DL are expressivity and decidability. Description Logics use two types of data structures for representing knowledge viz T-Box and A-Box. T-Box stores the basic terminologies of the application domain whereas A-Box consists of the assertions resulted from inference. Description Logics use two types of inference patterns: classification of individuals and classification of concepts. The process of inference is called as Reasoning. There are several types of reasoning. The reasoning procedures used in DL are Decision Procedures. The purpose of this paper is to understand the basic issues involved in conceptual modeling using DLs. We briefly review the basics of DL along with its architecture, syntax and semantics of DL. Then we will see how we can model a real world application using DL at conceptual level.

Suggested Citation

  • Vandana M. Patil, 2016. "ER Model Transformation Using Conceptual Modelling With Description Logic," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(2), pages 1094-1101, December.
    • Handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset1622382
    Note: Article URL: https://ijsrset.com/IJSRSET1622382
    as

    Download full text from publisher

    File URL: https://ijsrset.com/IJSRSET1622382
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrset.com/paper/1238.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    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:ijs:ijsrse:v2:y2016:i2:id:hijsrset1622382. 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: Pankaj Sharma (email available below). General contact details of provider: https://ijsrset.com/home .

    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.