Skip to main content

Ontology-Based Information Systems Development: The Problem of Automation of Information Processing Rules

  • Conference paper
Advances in Information Systems (ADVIS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4243))

Included in the following conference series:

Abstract

The business rule approach is used in information systems to represent domain knowledge and to maintain rules systems efficiently in volatile business environment. A number of methods were proposed to develop rule models, but only few deal with reuse of knowledge acquired in the analysis of some particular domain and automatic implementation of rules. In this paper, a method for representing knowledge by ontology transformation into the rule model is described. The method is based on ontology transformation of axioms presented in a formal way into (semi-) formal information processing rules in the form of executable rules, like active DBMS triggers. The method is implemented into the developed prototype, which is described in the case study section.

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

Access this chapter

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Business Rules Group: Defining Business Rules – What are they Really? Business Rules Group, 3rd edn. (2000)

    Google Scholar 

  2. Morgan, T.: Business Rules and Information Systems: Aligning IT with Business Goals. Addison-Wesley, Reading (2002)

    Google Scholar 

  3. Von Halle, B.: Business Rules Applied: Building Better Systems Using the Business Rules Approach. John Wiley & Sons, Chichester (2002)

    Google Scholar 

  4. Business Rules Group: The Business Motivation Model. Business Governance in a Volatile World, Business Rules Group (2005), http://www.BusinessRulesGroup.org

  5. Guarino, N.: Formal Ontology and Information Systems. In: Proc. of FOIS 1998, Trento, Italy, June 6–8, 1998, pp. 3–15. IOS Press, Amsterdam (1998)

    Google Scholar 

  6. Bugaite, D., Vasilecas, O.: Ontology-Based Elicitation of Business Rules. In: Nilsson, A.G., et al. (eds.) Advances in Information Systems Development: Proc. of the ISD 2005, pp. 795–806. Springer, Sweden (2006)

    Google Scholar 

  7. Lebedys, E., Vasilecas, O.: Analysis of business rules modelling languages. In: Proc. of the IT 2004, Lithuania, Technologija, pp. 487–494 (2004)

    Google Scholar 

  8. Hay, D.C.: Requirement Analysis. From Business Views to Architecture. Prentice Hall PTR, New Jersey (2003)

    Google Scholar 

  9. Semantics of Business Vocabulary and Business Rules (SBVR). OMG (2005) (March 2006), http://www.omg.org/docs/bei/05-08-01.pdf

  10. Yang, X.: Ontologies and How to Build Them (2001) (March 2006), http://www.ics.uci.edu/xwy/publications/area-exam.ps

  11. Gruber, T.: What is an Ontology? (March 2004), http://www-ksl.stanford.edu/kst/what-is-an-ontology.html

  12. Valatkaite, I., Vasilecas, O.: On Business Rules Approach to the Information Systems Development. In: Linger, H., et al. (eds.) Proc. of ISD 2003, Australia, pp. 199–208. Kluwer Academic/Plenum Publishers (2004)

    Google Scholar 

  13. Zacharias, V.: Kaon – towards a large scale semantic web. In: Bauknecht, K., Tjoa, A.M., Quirchmayr, G. (eds.) EC-Web 2002. LNCS, vol. 2455, pp. 304–313. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  14. Goncalves, M.A., Watson, L.T., Fox, E.A.: Towards a Digital Library Theory: A Formal Digital Library Ontology. Virginia Polytechnic Institute and State University (December 2005), http://www.dcs.vein.hu/CIR/cikkek/MFIR_DLOntology4.pdf

  15. Culmone, R., Rossi, G., Merelli, E.: An Ontology Similarity algorithm for BioAgent in NETTAB Workshop on Agents and Bioinformatics, Bologna (2002) (December 2005), http://www.bioagent.net/WWWPublications/Download/NETTAB02P1.pdf

  16. Hu, Z., Kruse, E., Draws, L.: Intelligent Binding in the Engineering of Automation Systems Using Ontology and Web Services. IEEE Transactions on Systems, Man, and Cybernetics – Part C: Applications and Reviews 33(3), 403–412 (2003)

    Article  Google Scholar 

  17. Lin, S., Miller, L.L., Tsai, H.-J., Xu, J.: Integrating a Heterogeneous Distributed Data Environment with a Database Specific Ontology. In: The International Conference on Parallel and Distributed Systems (December 2005) (2001), http://dg.statlab.iastate.edu/dg/papers_presentations/pdfs/lin_miller_et_al_2001_pdcs.pdf

  18. IMAGES. Glossary of Geometric and Mathematical Terms: Axiom (March 2006) (2004), http://images.rbs.org/appendices/d_glossary_geometric.shtml

  19. Cilia, M., Bornhovd, C., Buchmann, A.P.: Event Handling for the Universal Enterprise. Information Technology and Management – Special Issue on Universal Enterprise Integration 5(1), 123–148 (2005)

    Google Scholar 

  20. Chen, H., Perich, F., Finin, T., Joshi, A.: SOUPA: Standard Ontology for Ubiquitous and Pervasive Applications. In: Proc. of the First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services 2004, Boston (March 2006) (2004), http://ebiquity.umbc.edu/get/a/publication/105.pdf

  21. Event Ontology. KendraBase – server 3 (March 2006), http://base4.kendra.org.uk/event_ontology

  22. Ubiquity Event Ontology:: Classes and Properties. SchenaWeb (March 2006), http://www.schemaweb.info/schema/SchemaInfo.aspx?id=114

  23. Chen, H.: SOUPA Ontology 2004-06. semantic web in ubicomp (March 2006), http://pervasive.semanticweb.org/soupa-2004-06.html

  24. Jakkilinki, R., Sharda, N., Georgievski, M.: Developing an Ontology for Teaching Multimedia Design and Planning (September 2005), http://sci.vu.edu.au/~nalin/MUDPYOntologyPreprintV2.pdf

  25. Grosso, W.: The Protègè Axiom Language and Toolset (”PAL”) (2002) (September 2005), http://protege.stanford.edu/plugins/paltabs/pal-documentation/index.html

  26. Hou, J.: EZPal Tab. Stanford University (2005) (March 2006), http://protege.stanford.edu/plugins/ezpal/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Vasilecas, O., Bugaite, D. (2006). Ontology-Based Information Systems Development: The Problem of Automation of Information Processing Rules. In: Yakhno, T., Neuhold, E.J. (eds) Advances in Information Systems. ADVIS 2006. Lecture Notes in Computer Science, vol 4243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11890393_20

Download citation

  • DOI: https://doi.org/10.1007/11890393_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46291-0

  • Online ISBN: 978-3-540-46292-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics