Skip to main content
SpringerLink
Log in

Ontology Alignment for IT Integration in Business Domains

  • Conference paper
Book cover Business Information Systems Workshops (BIS 2012)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 127))

Included in the following conference series:

  • 1378 Accesses

Abstract

Development of ICT offers new solutions facilitating appearance of flexible supply networks. Business and IT alignment in flexible supply networks requires integration of different IT systems, what, in turn, assumes semantic integration of their data and workflow models. Ontologies have shown their usability for this type of tasks. Integration of different enterprise aspects into an ontology has been also researched in a number of works. In the proposed approach an ontological model is used to solve the problem of heterogeneity. This model makes it possible to enable interoperability between heterogeneous information systems due to provision of their common semantics. The paper focuses on description of the ontology-based knowledge fusion and ontology alignment patterns aimed at facilitation of the IT integration processes.

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 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 72.00
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. ILIPT Project, http://www.ilipt.org (accessed May 14, 2010)

  2. Lind, M., Seigerroth, U.: Multi-Layered Process Modeling for Business and IT Alignment. In: Proceedings of the 43rd Hawaii International Conference on System Sciences (HICSS), pp. 1–10 (2010)

    Google Scholar 

  3. Bradfield, D.J., Gao, J.X., Soltan, H.: A Metaknowledge Approach to Facilitate Knowledge Sharing in the Global Product Development Process. Computer-Aided Design & Applications 4(1-4), 519–528 (2007)

    Article  Google Scholar 

  4. Chan, E.C.K., Yu, K.M.: A framework of ontology-enabled product knowledge management. International Journal of Product Development, Inderscience Publishers 4(3-4), 241–254 (2007)

    Article  Google Scholar 

  5. Patil, L., Dutta, D., Sriram, R.: Ontology-based exchange of product data semantics. IEEE Transactions on Automation Science and Engineering 2(3), 213–225 (2005)

    Article  Google Scholar 

  6. Goldkuhl, G., Röstlinger, A.: Towards an integral understanding of organisations and information systems: Convergence of three theories. In: Proceedings of the 5th International Workshop on Organisational Semiotics (2002)

    Google Scholar 

  7. Latour, B.: Technology is society made durable. In: Law, J. (ed.) A Sociology of Monsters: Essays on Power, Technology and Domination, pp. 103–131. Routledge & Kegan Paul (1991)

    Google Scholar 

  8. Uschold, M., Grüninger, M.: Ontologies: Principles, methods and applications. Knowledge Engineering Review 11(2), 93–155 (1996)

    Article  Google Scholar 

  9. Doan, A., Hai, D., Jayant, M., Pedro, D., Alon, H.: Ontology Matching: A Machine Learning Approach. In: Handbook on Ontologies in Information Systems. Springer (2004)

    Google Scholar 

  10. Doan, A., Madhavan, J., Domingos, P., Halevy, A.: Learning to map between ontologies on the semantic web. In: Proceedings of the 11th International Conference on World Wide Web, pp. 662–673 (2002)

    Google Scholar 

  11. Hu, W., Jian, N., Qu, Y., Wang, Y.: GMO: A Graph Matching for Ontologies. In: Proceedings of the K-CAP Workshop on Integrating Ontologies, pp. 43–50 (2005)

    Google Scholar 

  12. Alasoud, A., Haarslev, V., Shiri, N.: An Effective Ontology Matching Technique. In: An, A., Matwin, S., Raś, Z.W., Ślęzak, D. (eds.) ISMIS 2008. LNCS (LNAI), vol. 4994, pp. 585–590. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  13. Hovy, E.: Combining and standardizing largescale, practical ontologies for machine translation and other uses. In: Proceedings of the First International Conference on Language Resources and Evaluation (LREC), pp. 535–542 (1998)

    Google Scholar 

  14. Mitra, P., Wiederhold, G., Jannink, J.: Semi-automatic Integration of Knowledge Sources. In: Proceedings of the 2nd International Conference on Information Fusion, FUSION 1999 (1999)

    Google Scholar 

  15. Mitra, P., Wiederhold, G., Kersten, M.L.: A Graph-Oriented Model for Articulation of Ontology Interdependencies. In: Zaniolo, C., Grust, T., Scholl, M.H., Lockemann, P.C. (eds.) EDBT 2000. LNCS, vol. 1777, pp. 86–100. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  16. Noy, N., Musen, M.: Anchor-PROMPT: Using Non-Local Context for Semantic Matching. In: Proceedings of the Workshop on Ontologies and Information Sharing at the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI 2001 (2001)

    Google Scholar 

  17. Castano, S., Ferrara, A., Montanelli, S.: H-Match: an Algorithm for Dynamically Matching Ontologies in Peer-based Systems. In: Proceedings of the 1st VLDB International Workshop on Semantic Web and Databases, SWDB 2003 (2003)

    Google Scholar 

  18. Serafini, L., Bouquet, P., Magnini, B., Zanobini, S.: An algorithm for matching contextualized schemas via SAT. Technical report, DIT University of Trento, Italy (2003)

    Google Scholar 

  19. Noy, N., Musen, M.: SMART: Automated Support for Ontology Merging and Alignment. In: Proceedings of the 12th Workshop on Knowledge Acquisition, Modeling, and Management (1999)

    Google Scholar 

  20. McGuinness, D.L., Fikes, R., Rice, J., Wilder, S.: An Environment for Merging and Testing Large Ontologies. In: Proceedings of the Seventh International Conference on Principles of Knowledge Representation and Reasoning, KR 2000 (2000), http://www.ksl.stanford.edu/software/chimaera/ (accessed May 12, 2012)

  21. Aumueller, D., Do, H., Massmann, S., Rahm, E.: Schema and Ontology Matching with COMA++. In: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, pp. 906–908 (2005)

    Google Scholar 

  22. Melnik, S., Garcia-Molina, H., Rahm, E.: Similarity flooding: a versatile graph matching algorithm and its application to schema matching. In: Proceedings of the 18th International Conference on Data Engineering, pp. 117–128 (2002)

    Google Scholar 

  23. Cruz, I., Antonelli, F., Stroe, C.: Efficient Selection of Mappings and Automatic Quality-Driven Combination of Matching Methods. In: Proceedings of the Fourth International Workshop on Ontology Matching (2009)

    Google Scholar 

  24. Ritze, D., Meilicke, C., Šváb-Zamazal, O., Stuckenschmidt, H.: A pattern-based ontology matching approach for detecting complex correspondences. In: Proceedings of the Fourth International Workshop on Ontology Matching (2009)

    Google Scholar 

  25. Giunchiglia, F., Maltese, V., Autayeu, A.: Computing Minimal Mappings. In: Proceedings of the Fourth International Workshop on Ontology Matching (2009)

    Google Scholar 

  26. Klein, M., Fensel, D., Kiryakov, A., Ognyanov, D.: Ontology Versioning and Change Detection on the Web. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 197–212. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  27. Enterprise Integration Patterns, http://www.eaipatterns.com/ (accessed March 26, 2012)

  28. Baumgaertel, H.: Distributed constraint processing for production logistics. IEEE Intelligent Systems 15(1), 40–48 (2000)

    Article  Google Scholar 

  29. Smirnov, A., Levashova, T., Shilov, N.: Semantic-oriented support of interoperability between production information systems. International Journal of Product Development, Inderscience Enterprises Ltd. 4(3/4), 225–240 (2007)

    Article  Google Scholar 

  30. Euzenat, J., Shvaiko, P.: Ontology matching. Springer (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14 Line, 199178, St. Petersburg, Russia

    Alexander Smirnov, Tatiana Levashova & Nikolay Shilov

Authors
  1. Alexander Smirnov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tatiana Levashova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nikolay Shilov
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Poznań University of Economics, Poznań, Poland

    Witold Abramowicz

  2. Knowledge Media Institute, The Open University, Walton Hall, MK7 6AA, Milton Keynes, UK

    John Domingue

  3. Poznań University of Economics, Al. Niepodległości 10, 60-967, Poznań, Poland

    Krzysztof Węcel

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Smirnov, A., Levashova, T., Shilov, N. (2012). Ontology Alignment for IT Integration in Business Domains. In: Abramowicz, W., Domingue, J., Węcel, K. (eds) Business Information Systems Workshops. BIS 2012. Lecture Notes in Business Information Processing, vol 127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34228-8_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34228-8_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34227-1

  • Online ISBN: 978-3-642-34228-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation