A framework for comparing conceptual models
Abstract
Conceptual models are a widely used mean for documenting software systems as well as describing organisational structures. The trend towards integrated and flexible information systems has encouraged research about the comparison of conceptual models. Current approaches on the identification of similarities between conceptual models often adopt an automation perspective only. In this paper we will unfold severe arguments that a fully automatic model comparison process is not feasible. Furthermore, we will show that only a semiautomatic process can perform the comparison of conceptual models at the semantic level. On this theoretical basis, we will develop a framework which identifies all necessary and sufficient components for comparing conceptual models. We will show that this framework includes all the requirements that a semi-automatic model comparison process must meet.
- Citation
- BibTeX
Pfeiffer, D. & Gehlert, A.,
(2005).
A framework for comparing conceptual models.
In:
Desel, J. & Frank, U.
(Hrsg.),
Enterprise modelling and information systems architectures.
Bonn:
Gesellschaft für Informatik e.V..
(S. 108-122).
@inproceedings{mci/Pfeiffer2005,
author = {Pfeiffer, Daniel AND Gehlert, Andreas},
title = {A framework for comparing conceptual models},
booktitle = {Enterprise modelling and information systems architectures},
year = {2005},
editor = {Desel, Jörg AND Frank, Ulrich} ,
pages = { 108-122 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Pfeiffer, Daniel AND Gehlert, Andreas},
title = {A framework for comparing conceptual models},
booktitle = {Enterprise modelling and information systems architectures},
year = {2005},
editor = {Desel, Jörg AND Frank, Ulrich} ,
pages = { 108-122 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
Dateien | Groesse | Format | Anzeige | |
---|---|---|---|---|
GI-Proceedings.75-8.pdf | 213.0Kb | View/ |
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Send Feedback
More Info
ISBN: 3-88579-404-7
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2005
Language:
(en)

Content Type: Text/Conference Paper