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International Conference on Conceptual Modeling

ER 2006: Advances in Conceptual Modeling - Theory and Practice pp 227–236Cite as

Handling Changes of Database Schemas and Corresponding Ontologies

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 4231))

Abstract

Currently, knowledge from biological research is stored in hundreds of databases, counting only public accessible ones. Finding specific data in these is a challenging task which can be supported by ontologies describing them. The maintenance of a corresponding ontology is time consuming manual work, because research database schemas change rapidly. Our project will reduce the work by automating tasks, like a generation process and applying schema changes to the corresponding ontology. We call the proposed method coevolution, because database schema and ontology are allowed to evolve independently without ever losing their connection to each other. Our method consists of initial ontology generation, manual annotation and change propagation steps.

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References

  1. Spyns, P., Meersman, R., Jarrar, M.: Data modelling versus ontology engineering. SIGMOD Rec. 31, 12–17 (2002)

    Article  Google Scholar 

  2. Erdmann, M., Studer, R.: How to structure and access XML documents with ontologies. Data Knowl. Eng. 36, 317–335 (2001)

    Article  MATH  Google Scholar 

  3. Bechhofer, S., van Harmelen, F., Hendler, J., Horrocks, I., McGuinness, D., Patel-Schneider, P., Stein, L.: OWL web ontology language reference, W3C (2004)

    Google Scholar 

  4. Gómez-Pérez, A., Fernández-López, M., Corcho, O.: Ontological Engineering. Springer, Heidelberg (2004)

    Google Scholar 

  5. de Laborda, C., Conrad, S.: Relational.OWL - A Data and Schema Representation Format Based on OWL. In: Conceptual Modelling 2005 (APCCM 2005), pp. 89–96. Australian Computer Society (2005)

    Google Scholar 

  6. Galperin, M.Y.: The Molecular Biology Database Collection: 2006 update. Nucl. Acids Res. 34, D3–D5 (2006)

    Article  Google Scholar 

  7. Lacroix, Z., Critchlow, T.: Bioinformatics – Managing Scientific Data. Morgan Kaufmann, San Francisco (2003)

    Google Scholar 

  8. Stevens, R., Wroe, C., Lord, P., Goble, C.: Ontologies in Bioinformatics. In: Int. Handbooks on Information Systems, pp. 635–657. Springer, Heidelberg (2004)

    Google Scholar 

  9. Fan, H., Poulovassilis, A.: Schema evolution in data warehousing environments - a schema transformation-based approach. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, T.-W. (eds.) ER 2004. LNCS, vol. 3288, pp. 639–653. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  10. Tresch, M.: Evolution in Objekt-Datenbanken. Teubner, Stuttgart (1995)

    Google Scholar 

  11. Lu, J.J., Hsu, C.N.: Query answering using ontologies in agent-based resource sharing environment for biological web information integrating. In: Proc. of IJCAI 2003 Workshop on Information Integration on the Web, pp. 197–202 (2003)

    Google Scholar 

  12. Stuckenschmidt, H., van Harmelen, F.: Information Sharing on the Semantic Web. In: Advanced Information and Knowledge Processing. Springer, Heidelberg (2005)

    Google Scholar 

  13. Castano, S., Antonellis, V.D.: A Discovery-Based Approach to Database Ontology Design. Distrib. Parallel Databases 7, 67–98 (1999)

    Article  Google Scholar 

  14. Kroenke, D.: Database Processing. Fundamentals, Design, and Implementation, 10th edn. Pearson Prentice Hall, New Jersey (2005)

    Google Scholar 

  15. Franconi, E., Grandi, F., Mandreoli, F.: Schema evolution and versioning: A logical and computational characterisation. In: Balsters, H., De Brock, B., Conrad, S. (eds.) FoMLaDO 2000 and DEMM 2000. LNCS, vol. 2065, pp. 85–99. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  16. Ding, Y., Foo, S.: Ontology research and development, Part 2 - A review of ontology mapping and evolving. Journal of Information Science 28, 375–388 (2002)

    Google Scholar 

  17. Knublauch, H., Fergerson, R., Noy, N., Musen, M.: The Protégé OWL Plugin: An Open Development Environment for Semantic Web Applications. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 229–243. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  18. Noy, N.F., Klein, M.: Ontology evolution: Not the same as schema evolution. Knowl. Inf. Syst. 6, 428–440 (2004)

    Article  Google Scholar 

  19. Necib, C.B., Freytag, J.: Query Processing Using Ontologies. In: Pastor, Ó., Falcão e Cunha, J. (eds.) CAiSE 2005. LNCS, vol. 3520, pp. 167–186. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Information Systems, Technical University of Braunschweig, Germany

    Andreas Kupfer, Silke Eckstein, Karl Neumann & Brigitte Mathiak

Authors
  1. Andreas Kupfer
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  2. Silke Eckstein
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  3. Karl Neumann
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  4. Brigitte Mathiak
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Editor information

Editors and Affiliations

  1. Flinders University, Adelaide, Australia

    John F. Roddick

  2. iSOCO, Spain

    V. Richard Benjamins

  3. CEDRIC-CNAM, France

    Samira Si-said Cherfi

  4. University of Cincinnati, USA

    Roger Chiang

  5. Naval Academy Research Institute, Brest Naval, France

    Christophe Claramunt

  6. Department of Computer Science and Engineering, The University of Texas at Arlington, USA

    Ramez A. Elmasri

  7. Dipartimento di Elettronica, Informatica e Sistemistica, Alma Mater Studiorum – Università di Bologna, Italy

    Fabio Grandi

  8. Drexel University, USA

    Hyoil Han

  9. E-Business and Web Science Research Group, Bundeswehr University Munich, Germany

    Martin Hepp

  10. University of Patras, Argolidos 40-42, 153-44, Gerakas Attikis, Greece

    Miltiadis D. Lytras

  11. University of Manitoba, Canada

    Vojislav B. Mišić

  12. Ghent University, Belgium

    Geert Poels

  13. College of Information Science and Technology, Drexel University, USA

    Il-Yeol Song

  14. Department of Software and Computing Systems, University of Alicante, Spain

    Juan Trujillo

  15. EPFL, Switzerland

    Christelle Vangenot

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kupfer, A., Eckstein, S., Neumann, K., Mathiak, B. (2006). Handling Changes of Database Schemas and Corresponding Ontologies. In: Roddick, J.F., et al. Advances in Conceptual Modeling - Theory and Practice. ER 2006. Lecture Notes in Computer Science, vol 4231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908883_28

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  • DOI: https://doi.org/10.1007/11908883_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47703-7

  • Online ISBN: 978-3-540-47704-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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