Skip to main content
SpringerLink
Log in

Conceptual Modeling Using Knowledge of Domain Ontology

  • Conference paper
Intelligent Information and Database Systems (ACIIDS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9622))

Included in the following conference series:

  • 1549 Accesses

Abstract

Conceptual modeling play an important role in software development. In initial phase of conceptual modeling domain models are constructed. They should be consistent with the reality they intend to present. Existing ontologies can be perceived as a valuable source for domain knowledge. The paper presents a method supporting development of domain models on the base of knowledge represented by a domain ontology. The main benefit of the method is that the developed domain model preserves consistency with the domain ontology in the context of the given domain problem. The proposed method is illustrated by an example.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Benevides, A.B., Guizzardi, G.: A model-based tool for conceptual modeling and domain ontology engineering in OntoUML. In: Filipe, J., Cordeiro, J. (eds.) Enterprise Information Systems. LNBIP, vol. 24, pp. 528–538. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  2. Jing, D., Yang, H., Tian, Y.: Abstraction based domain ontology extraction for idea creation. In: 13th International Conference on Quality Software, pp.341–348. IEEE (2013)

    Google Scholar 

  3. Dubielewicz, I., Hnatkowska, B., Huzar, Z., Tuzinkiewicz, L.: Domain modeling in the context of ontology. Found. Comput. Decis. Sci. 40(1), 3–15 (2015)

    Google Scholar 

  4. Dubielewicz, I., Hnatkowska, B., Huzar, Z., Tuzinkiewicz, L.: Development of domain model based on SUMO ontology. In: Zamojski, W., et al. (eds.) Proceedings of the Tenth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, pp. 163–173. Springer, Switzerland (2015)

    Google Scholar 

  5. Dubielewicz, I., Hnatkowska, B., Huzar, Z., Tuzinkiewicz, L.: Problems of SUMO-Like ontology usage in domain modelling. In: Nguyen, N.T., Attachoo, B., Trawiński, B., Somboonviwat, K. (eds.) ACIIDS 2014, Part I. LNCS, vol. 8397, pp. 352–363. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  6. Hesse W.: Ontologies in the Software Engineering process, Fachbereich Mathematik und Informatik, Univ. Marburg. http://ceur-ws.org/Vol-141/paper1.pdf

  7. Hnatkowska, B.: Towards automatic SUMO to UML translation. In: Kościuczenko, P., Śmiałek, M. (eds.) From Requirements to Software, Research and Practice, pp. 87–100. Polskie Towarzystwo Informatyczne, Katowice (2015)

    Google Scholar 

  8. Niles, I., Pease, A.:. Linking lexicons and ontologies: mapping WordNet to the suggested upper merged ontology. In: Proceedings of the IEEE International Conference on Information and Knowledge Engineering, pp. 412–416 (2003)

    Google Scholar 

  9. Niles, I., Pease, A.: Toward a standard upper ontology. In: Chris Welty, C.H., Smith, B. (eds.) Proceedings of the 2nd International Conference on Formal Ontology in Information Systems (FOIS-2001), pp. 2–9 (2001)

    Google Scholar 

  10. Pease, A.: Ontology: A Practical Guide. Articulate Software Press, Angwin (2011)

    Google Scholar 

  11. Ruiz, F., Hilera, J.: Using ontologies in software engineering and technology. In: Calero, C., Ruiz, F., Piattini, M. (eds.) Ontologies for Software Engineering and Software Technology, pp. 49–102. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  12. Si-Said Cherfi, S., Ayad, S., Comyn-Wattiau, I.: Improving business process model quality using domain ontologies. J. Data Semant. 2, 75–87 (2013). Springer

    Article  Google Scholar 

  13. Wikipedia. Vision document – wikipedia, the free encyclopedia (2015). Accessed 20 September 2015

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Wroclaw University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Hnatkowska Bogumiła, Huzar Zbigniew, Tuzinkiewicz Lech & Dubielewicz Iwona

Authors
  1. Hnatkowska Bogumiła
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Huzar Zbigniew
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tuzinkiewicz Lech
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dubielewicz Iwona
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hnatkowska Bogumiła .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Wrocław University of Technology, Wrocław, Poland

    Bogdan Trawiński

  3. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bogumiła, H., Zbigniew, H., Lech, T., Iwona, D. (2016). Conceptual Modeling Using Knowledge of Domain Ontology. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49390-8_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-49390-8_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49389-2

  • Online ISBN: 978-3-662-49390-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation