Challenges of identifying communities with shared semantics in enterprise modeling

Dirk van der Linden*, Stijn Hoppenbrouwers

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationThe Practice of Enterprise Modeling - 5th IFIP WG 8.1 Working Conference, PoEM 2012, Proceedings
PublisherSpringer
Pages160-171
Number of pages12
ISBN (Print)9783642345487
DOIs
Publication statusPublished - 1 Jan 2012
Externally publishedYes
Event5th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling, PoEM 2012 - Rostock, Germany
Duration: 7 Nov 20128 Nov 2012

Publication series

NameLecture Notes in Business Information Processing
Volume134 LNBIP
ISSN (Print)1865-1348

Conference

Conference5th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling, PoEM 2012
Country/TerritoryGermany
CityRostock
Period7/11/128/11/12

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