Skip to main content
SpringerLink
Log in

Some Properties of Complex Tree Integration Criteria

  • Conference paper
Computational Collective Intelligence. Technologies and Applications (ICCCI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6923))

Included in the following conference series:

Abstract

Hierarchical data integration becomes important with the abundance of XML based solution in today world. We have previously introduced a model of hierarchical data – the Complex Tree, a model for its integration and some criteria to guide the integration process. In this paper some of those criteria are further analyzed and their properties are described: 1) the completeness criterion based integration may be decomposed into subtasks with the same final result, 2) the minimality criterion based integration may also be decomposed, but the result, while correct, is not guaranteed to be the same, 3) the precision and relationship completeness criteria are in some cases mutually exclusive.

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 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. Adams, E.N.: N-Trees as Nestrings: Complexity, Similarity, and Consensus. Journal of Classification 3, 299–317 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  2. Batini, C., Lenzerini, M., Navathe, S.B.: A comparative analysis of methodologies for database schema integration. ACM Computing Surveys (CSUR) 18(4), 323–364 (1986)

    Article  Google Scholar 

  3. Batista, M.d.C.M., Salgado, A.C.: Minimality Quality Criterion Evaluation for Integrated Schemas. In: Proceedings of 2nd International Conference on Digital Information Management, ICDIM 2007, pp. 436–441 (2007)

    Google Scholar 

  4. Barthelemy, J.P., McMorris, F.R.: The Median Procedure for n-Trees. Journal of Classification 3, 329–334 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  5. Comyn-Wattiau, I., Bouzeghoub, M.: Constraint confrontation: An important step in view integration. In: Loucopoulos, P. (ed.) CAiSE 1992. LNCS, vol. 593, pp. 507–523. Springer, Heidelberg (1992)

    Chapter  Google Scholar 

  6. Day, W.H.E.: Optimal Algorithms for Comparing Trees with Labeled Leaves. Journal of Classification 2, 7–28 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  7. Do, H.H., Melnik, S., Rahm, E.: Comparison of Schema Matching Evaluations. In: Chaudhri, A.B., Jeckle, M., Rahm, E., Unland, R. (eds.) NODe-WS 2002. LNCS, vol. 2593, pp. 221–237. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  8. Madria, S., Passi, K., Bhowmick, S.: An XML Schema integration and query mechanism system. Data & Knowledge Engineering 65, 266–303 (2008)

    Article  Google Scholar 

  9. Maleszka, M., Nguyen, N.T.: Methods for XML documents integration. In: Grzech, A., Swiatek, P., Drapala, J. (eds.) Advances in Systems. Warsaw “Exit”, pp. 333–342 (2010)

    Google Scholar 

  10. Maleszka, M., Nguyen, N.T.: A model for Complex Tree integration tasks. In: Nguyen, N.T., Kim, C.-G., Janiak, A. (eds.) ACIIDS 2011, Part I. LNCS, vol. 6591, pp. 36–46. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  11. Maleszka, M., Nguyen, N.T.: A Method for Complex Hierarchical Data Integration. In: Cybernetics and Systems (to appear)

    Google Scholar 

  12. Passi, K., Lane, L., Madria, S., Sakamuri, B.C., Mohania, M., Bhowmick, S.: A Model for XML Schema Integration. In: Bauknecht, K., Tjoa, A.M., Quirchmayr, G. (eds.) EC-Web 2002. LNCS, vol. 2455, pp. 193–202. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  13. Rahm, E., Bernstein, P.A.: A survey of approaches to automatic schema matching. The VLDB Jour-nal 10, 334–350 (2001)

    Article  MATH  Google Scholar 

  14. Schmitt, I., Saake, G.: A comprehensive database schema integration method based on the theory of formal concepts. Acta Informatica 41(7/8), 475–524 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  15. Stinebricker, R.: s-Consensus Trees and Indices. Bulletin of Mathematical Biology 46, 923–935 (1984)

    MathSciNet  Google Scholar 

  16. Trinkunas, J., Vasilecas, O.: Ontology Transformation: from Requirements to Conceptual Model. Scientific Papers, University of Latvia. Computer Science and Information Technologies, vol. 751, pp. 52–64 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50370, Wroclaw, Poland

    Marcin Maleszka & Ngoc Thanh Nguyen

Authors
  1. Marcin Maleszka
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ngoc Thanh Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Gdynia Maritime University, Morska 81-87, 81-225, Gdynia, Poland

    Piotr Jędrzejowicz

  2. Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. University of Information Technology Vietnam, Km 20, Xa lo Ha Noi, Linh Trung, Thu Duc, 848, HCM City, Vietnam

    Kiem Hoang

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Maleszka, M., Nguyen, N.T. (2011). Some Properties of Complex Tree Integration Criteria. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23938-0_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23938-0_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23937-3

  • Online ISBN: 978-3-642-23938-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation