Formalizing Linguistic Conventions for Conceptual Models

Becker J, Delfmann P, Herwig S, Lis L, Stein A


Abstract
A precondition for the appropriate analysis of conceptual models is not only their syntactic correctness but also their semantic comparability. Assuring comparability is challenging especially when models are developed by different persons. Empirical studies show that such models can vary heavily, especially in model element naming, even if they express the same issue. In contrast to most ontology-driven approaches proposing the resolution of these differences ex-post, we introduce an approach that avoids naming differences in conceptual models already during modeling. Therefore we formalize naming conventions combining domain thesauri and phrase structures based on a lin-guistic grammar. This allows for guiding modelers automatically during the modeling process using standardized labels for model elements. Our approach is generic, making it applicable for any modeling language.

Keywords
Conceptual Modeling, Naming Conventions, Computational Linguistics



Publication type
Conference Paper

Peer reviewed
Yes

Publication status
Published

Year
2009

Conference
28th International Conference on Conceptual Modeling (ER 2009)

Venue
Gramado, Brazil

Book title
Conceptual Modeling - ER 2009 28th International Conference on Conceptual Modeling, Gramado, Brazil, November 9-12, 2009. Proceedings

Editor
Laender A. H. F., Castano S., Dayal U., Casati F., de Oliverira J. P. M.

Start page
70

End page
83

Pages range
70-83

Volume
5829

Title of series
Lecture Notes in Computer Science

Publisher
Springer Verlag

Place
Berlin, Heidelberg

Language
English

ISBN
978-3-642-04839-5

DOI

Affiliation
University of Münster European Research Center for Information Systems (ERCIS) Leonardo-Campus 3 48149 Münster Germany