Integrating Information under Lattice Structure

  • V. Phan-Luong
  • T. TPham
  • R. Jeansoulin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2871)


Different observations on a domain framework can result in different information sources, which can be complementary or in conflict with each other. In this paper, we propose a framework to deal with this problem, assuming the information space has a lattice structure. When inconsistencies exist in information sources, our approach can allow consensus solutions for integration. Our approach can apply for integrating geographic information, in particular, the spatio-thematic information.


Partial Order Information Source Lattice Structure Data Integration Object Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Benferhat, S., Dubois, D., Lang, J., Prade, H., Saffiotti, A., Smets, P.: A general approach for inconsistency handling and merging information in prioritized knowledge bases. In: Proc of KR 1998, Trento (1998)Google Scholar
  2. 2.
    Cholvy, L.: Applying theory of evidence in multisensor data fusion: a logical interpretation. In: Proc. of FUSION, Paris (2000)Google Scholar
  3. 3.
    Fonseca, F., Egenhofer, M., Agouris, P., Camara, G.: Using ontologies for integrated geographic information systems. Trans. In: Geo. Inform. Systems 6(3) (2002)Google Scholar
  4. 4.
    Kashyap, V., Sheth, A.: Semantic heterogeneity in global information systems: the role of metadata, context and ontologies. In: Papazoglou, M.P., Schlageter, G. (eds.) Cooperative Information Systems. Academic Press, San Diego (1998)Google Scholar
  5. 5.
    McGuinness, D.L., Fikes, R., Rice, J., Wilder, S.: An environment for merging and testing large Ontologies. In: Proc. KR 2000, Colorado, USA (2000)Google Scholar
  6. 6.
    Stumme, G., Maedche, A.: FCA-Merge: Bottom-Up Merging of Ontologies. In: Proc. 17th Intl. Joint Conf. on Artificial Intelligence, JCAI 2001, San Francisco (2001)Google Scholar
  7. 7.
    Worboys, M., Duckham, M.: Integrating spatio-thematic information. In: Proc. the Intl. Conf. GIScience, Colorado, USA (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • V. Phan-Luong
    • 1
  • T. TPham
    • 2
  • R. Jeansoulin
    • 2
  1. 1.L.I.F., Laboratoire d’Informatique Fondamentale de Marseille 
  2. 2.L.S.I.S., Laboratoire des Sciences de l’Information et des SystemesC.M.I. de l’Universite deProvenceCedex 13France

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