Challenges of Identifying Communities with Shared Semantics in Enterprise Modeling - The Practice of Enterprise Modeling (PoEM 2012) Access content directly
Conference Papers Year : 2012

Challenges of Identifying Communities with Shared Semantics in Enterprise Modeling

Abstract

In this paper we discuss the use and challenges of identifying communities with shared semantics in Enterprise Modeling. People tend to understand modeling meta-concepts (i.e., a modeling language’s constructs or types) in a certain way and can be grouped by this understanding. Having an insight into the typical communities and their composition (e.g., what kind of people constitute a semantic community) would make it easier to predict how a conceptual modeler with a certain background will generally understand the meta-concepts he uses, which is useful for e.g., validating model semantics and improving the efficiency of the modeling process itself. We demonstrate the use of psychometric data from two studies involving experienced (enterprise) modeling practitioners and computing science students to find such communities, discuss the challenge that arises in finding common real-world factors shared between their members to identify them by and conclude that the common (often implicit) grouping properties such as similar background, focus and modeling language are not supported by empirical data.
Fichier principal
Vignette du fichier
978-3-642-34549-4_12_Chapter.pdf (391.1 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01484401 , version 1 (07-03-2017)

Licence

Attribution

Identifiers

Cite

Dirk van Der Linden, Stijn Hoppenbrouwers. Challenges of Identifying Communities with Shared Semantics in Enterprise Modeling. 5th Working Conference on the Practice of Enterprise Modeling (PoEM), Nov 2012, Rostock, Germany. pp.160-171, ⟨10.1007/978-3-642-34549-4_12⟩. ⟨hal-01484401⟩
150 View
61 Download

Altmetric

Share

Gmail Facebook X LinkedIn More