On the Symbiosis between Enterprise Modeling and Ontology Engineering

Frederik Gailly, Sven Casteleyn, Nadejda Alkhaldi

Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

Abstract

In different fields, ontologies are increasingly deployed to specify
and fix the terminology of a particular domain. In enterprise modelling, their
main use lies in serving as a knowledge base for enterprise model creation.
Such models, based on one or several compatible so-called enterprise-specific
ontologies, allow for model alignment and solve interoperability issues. On the
other hand, enterprise models may enrich the enterprise-specific ontology with
concepts emerging from practical needs. In order to achieve this reciprocal advantage,
we developed an ontology-based enterprise modeling meta-method
that facilitates modelers to construct their models using the enterprise-specific
ontology. While doing so, modelers give their feedback for ontology improvement.
This feedback is subject to community approval, after which it is possibly
incorporated into the ontology, thereby evolving to ontology to better fit the
enterprise's needs. Our meta-method is instantiated and demonstrated using a
case study of a car rental company, where the symbiosis between business process
modeling and ontology engineering is demonstrated.
Original languageEnglish
Title of host publicationConceptual Modeling
EditorsWilfred Ng, Veda C. Storey, Juan C. Trujillo
Place of PublicationBerlin, Heidelberg
PublisherSpringer
Pages487-494
Number of pages8
Volume8217
ISBN (Electronic)978-3-642-41924-9
ISBN (Print)978-3-642-41923-2
Publication statusPublished - 11 Nov 2013
Event32th International Conference on Conceptual Modeling, ER 2013 - Hong-Kong, China
Duration: 11 Nov 201313 Nov 2013

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume8217
ISSN (Print)0302-9743

Conference

Conference32th International Conference on Conceptual Modeling, ER 2013
CountryChina
CityHong-Kong
Period11/11/1313/11/13

Keywords

  • Enterprise modeling
  • Ontology engineering

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