This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Positioning REA as a Business Domain Ontology

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
F. GAILLY ()
W. LAURIER ()
G. POELS ()

Additional information is available for the following registered author(s):

Abstract

Ontologies are a popular research direction in different domains as is also the case in information systems research. In the beginning of this millennium Geerts and McCarthy (2002) proposed an ontology for the business context which was an extension of the basic REA-model which had already proven its use as a semantic accounting information model. In the recent papers of Geerts and McCarthy the focus is primarily on defining and theoretically justifying the content of this newly proposed enterprise ontology. In this paper we elaborate on more practical issues related to the REA-ontology. A lot of confusion exists about what ontologies are and for what purpose they can be used. In this paper we investigate how we could classify the REA-ontology and the REA-ontology applications. This analysis clarifies the application potential of the REA-ontology but also emphasizes that a generally accepted, explicit and formal specification is needed in order to improve the usability. In the case of the REA-ontology this means that the ontology should be more unambiguously to interpret by business experts and the applicability for ontology-driven system development and ontology driven systems should be improved. This paper proposes a new REA-ontology specification that uses an UML profile for graphically representing ontologies (OMG 2006). This specification of the ontology in a single graphical representation formalism is more complete than previously available representations, without compromising its ability to be understood by business professionals. At the same time it can easily be transformed into a more formal representation which can be understood by machines. Having a machine readable representation of the REA-ontology is a necessary prerequisite for the successful application of the REA-ontology in business modeling, software engineering, knowledge representation and interoperability creation.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.FEB.UGent.be/nl/Ondz/wp/Papers/wp_07_460.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Ghent University, Faculty of Economics and Business Administration in its series Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium with number 07/460.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 39 pages
Date of creation: Apr 2007
Date of revision:
Handle: RePEc:rug:rugwps:07/460

Contact details of provider:
Postal: Hoveniersberg 4, B-9000 Gent
Phone: ++ 32 (0) 9 264 34 61
Fax: ++ 32 (0) 9 264 35 92
Web page: http://www.feb.ugent.be/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Nathalie Verhaeghe).

Related research
Keywords: REA-ontology; REA-ontology applications; OWL; UML; business modeling;

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? About five million pdf files are downloaded through RePEc every year.

This page was last updated on 2009-12-11.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.