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Recognition and Resolution of Linguistic Conflicts: The Core to a Successful View and Schema Integration

  • Peter Bellström
  • Jürgen Vöhringer
  • Alexander Salbrechter
Conference paper

In the field of information system (IS) design and modeling the topic of integrating different views and schemata to a common conceptual schema is a central issue. Integration of two schemata means that they are compared, conflicts between them are identified and resolved, and finally the schemata are merged. Integration is often based on a global ontology that provides the valid concepts and interdependencies of a domain. In this paper we adapt the definition of ontology [8]: “An ontology is an explicit specification of a conceptualization.”. Traditional integration techniques are often based on concept name comparison which even more motivates the use of an ontology as a domain lexicon.

Keywords

Domain Ontology Enterprise Modeling Information System Development Base Ontology Natural Language Text 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Bellström P, Carlsson S (2004) Towards an understanding of the mean-ing and the contents of a database through design and reconstruction. In: Vasilecas O et al. (eds) Proceedings of ISD’2004, pp 283-293.Google Scholar
  2. 2.
    Bellström P (2005) Using Enterprise Modeling for identification and resolution of homonym conflicts in view integration. In: Vasilecas O et al. (eds) Information Systems Development Advances in Theory, Practice and Education, Springer, pp 265-276.Google Scholar
  3. 3.
    Bellström P (2006) View integration in conceptual database design -Problems, approaches and solutions. Licentiate thesis, Karlstad Univer-sity Studies, 2006:5.Google Scholar
  4. 4.
    Bellström P, Jakobsson L (2006) Towards a generic and integrated En-terprise Modeling approach to designing databases and software compo-nents. In: Nilsson A G et al. (eds) Advances in Information Systems Development Bridging the Gap between Academia and Industry, Springer, pp 635-646.Google Scholar
  5. 5.
    Fliedl G, Kop C, Mayr H C, Mayerthaler W, Winkler C (2000) Linguistically based requirements engineering The NIBA project. Data & Knowledge Engineering vol 35, pp 111-120.MATHCrossRefGoogle Scholar
  6. 6.
    Gustas R, Gustiené P (2004) Towards the enterprise engineering ap-proach for information system modelling across organisational and tech-nical boundaries. In: Camp O et al. (eds) Enterprise Information Systems V, Kluwer Academic Publishers, Netherlands, pp 204-215.Google Scholar
  7. 7.
    Gustas R, Jakobsson L (2004) Enterprise modelling of component ori-ented information system architectures. In: Fujita H, Gruhn V (eds) Pro-ceedings of SoMeT_W04, IOS Press, pp 88-102.Google Scholar
  8. 8.
    Gruber T R (1993) A translation approach to portable ontology specifica-tions. Knowledge Acquisition vol 5, pp 199-220.CrossRefGoogle Scholar
  9. 9.
    Kop C, Mayr H C (1998) Conceptual predesign - Bridging the gap be- tween requirements and conceptual design. In: Proceedings ICRE’98, pp 90-100.Google Scholar
  10. 10.
    Kop C, Vöhringer J, Hölbling M, Horn T, Irrasch C, Mayr H C (2005): Tool Supported Extraction of Behaviour Models. In Kaschek R et al. (eds) ISTA2005, GI Edition Lecture Notes in Informatics, pp 63-73.Google Scholar
  11. 11.
    Métais E, Kedad Z, Comyn-Wattiau I, Bouzeghoub M (1996) Implemen-tation of a third generation view integration tool. In: Proceedings of 2nd International Workshop on Applications of Natural Language to Data Bases.Google Scholar
  12. 12.
    Rupp C (2004) Requirements Engineering und -Management, 3rd edition, Hanser, Vienna, pp 239ffGoogle Scholar
  13. 13.
    Turetken O at all (2004) Supporting systems analysis and design through Fisheye views. Communications of the ACM vol 47 no 9, pp 72-77.CrossRefGoogle Scholar
  14. 14.
    Vernadat F B (1996) Enterprise modeling and integration principles and applications. Chapman & Hall, London.Google Scholar
  15. 15.
    Vöhringer J, Mayr H C (2006) Integration of schemas on the pre- conceptual level using the KCPM-approach. in: Nilsson A G et al. (eds) Advances in Information Systems Development Bridging the Gap between Academia and Industry, Springer, pp 623-634.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Peter Bellström
    • 1
  • Jürgen Vöhringer
    • 2
  • Alexander Salbrechter
    • 3
  1. 1.Department of Information SystemsKarlstad UniversitySweden
  2. 2.Department of Business Informatics and Application SystemsUniversity of KlagenfurtAustria
  3. 3.R&S Software GmbHAustria

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