Skip to main content
SpringerLink
Log in

Information Fusion

  • Conference paper
Scalable Uncertainty Management (SUM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6379))

Included in the following conference series:

Abstract

Merging information coming from different sources is an important issue in various domains of computer science like knowledge representation for artificial intelligence, decision making or databases. The aim of fusion is to obtain a global point of view, exploiting the complementarity between sources, solving different existing conflicts, reducing the possible redundancies.

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. Grégoire, E., Konieczny, S.: Logic-based approaches to information fusion. Inf. Fusion 7(1), 4–18 (2006)

    Google Scholar 

  2. Baral, C., Kraus, S., Minker, J., Subrahmanian, V.S.: Combining knowledge bases consisting of first order theories. In: Raś, Z.W., Zemankova, M. (eds.) ISMIS 1991. LNCS, vol. 542, pp. 92–101. Springer, Heidelberg (1991)

    Google Scholar 

  3. Revesz, P.Z.: On the semantics of theory change: arbitration between old and new information. In: 12th ACM SIGACT-SGMIT-SIGART symposium on Principes of Databases, pp. 71–92 (1993)

    Google Scholar 

  4. Lin, J.: Integration of weighted knowledge bases. Artif. Intell. 83, 363–378 (1996)

    Article  Google Scholar 

  5. Revesz, P.Z.: On the semantics of arbitration. Journ. of Alg. and Comp. 7(2), 133–160 (1997)

    Article  MathSciNet  Google Scholar 

  6. Cholvy, L.: Reasoning about merging information. Handbook of DRUMS 3, 233–263 (1998)

    MathSciNet  Google Scholar 

  7. Konieczny, S., Pérez, R.P.: On the logic of merging. In: Proc. of KR 1998, pp. 488–498 (1998)

    Google Scholar 

  8. Lafage, C., Lang, J.: Logical representation of preferences for group decision making. In: Proc. of KR 2000, pp. 457–468. Morgan Kaufmann, San Francisco (2000)

    Google Scholar 

  9. Konieczny, S.: On the difference between merging knowledge bases and combining them. In: Proc of KR 2000, pp. 135–144. Morgan Kaufmann, San Francisco (2000)

    Google Scholar 

  10. Delgrande, J., Dubois, D., Lang, J.: Iterated revision as prioritized merging. In: Proc. of KR 2006, pp. 210–220 (2006)

    Google Scholar 

  11. Fagin, R., Kuper, G.M., Ullman, J.D., Vardi, M.Y.: Updating logical databases. In: Advances in Computing Research, pp. 1–18 (1986)

    Google Scholar 

  12. Konieczny, S., Lang, J., Marquis, P.: Distance-based merging: A general framework and some complexity results. In: Proc. of KR 2002, pp. 97–108 (2002)

    Google Scholar 

  13. Bloch, I., Lang, J.: Towards mathematical morpho-logics. In: Technologies for constructing intelligent systems: tools, pp. 367–380. Springer, Heidelberg (2002)

    Google Scholar 

  14. Meyer, T., Ghose, A., Chopra, S.: Syntactic representations of semantic merging operations. In: Proc. of Workshop IDK, IJCAI 2001, pp. 36–42 (2001)

    Google Scholar 

  15. Yue, A., Liu, W., Hunter, A.: Approaches to constructing a stratified merged knowledge base. In: Mellouli, K. (ed.) ECSQARU 2007. LNCS (LNAI), vol. 4724, pp. 54–65. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  16. Hue, J., Papini, O., Würbel, E.: Syntactic propositional belief bases fusion with removed sets. In: Mellouli, K. (ed.) ECSQARU 2007. LNCS (LNAI), vol. 4724, pp. 66–77. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  17. Dubois, D., Lang, J., Prade, H.: Possibilistic Logic. In: Handbook of Logic in Artificial Intelligence and Logic Programming, vol. 3, pp. 439–513 (1994)

    Google Scholar 

  18. Benferhat, S., Dubois, D., Kaci, S., Prade, H.: Possibilistic Merging and Distance-based Fusion of Propositional Information. AMAI 34(1-3), 217–252 (2002)

    MATH  MathSciNet  Google Scholar 

  19. Benferhat, S., Dubois, D., Prade, H.: Reasoning in inconsistent stratified knowledge bases. In: Proc. of ISMVL 1996, pp. 184–189 (1996)

    Google Scholar 

  20. Hunter, A., Liu, W.: Knowledge base stratification and merging based on degree of support. In: Sossai, C., Chemello, G. (eds.) ECSQARU 2009. LNCS, vol. 5590, pp. 383–395. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  21. Benferhat, S., Kaci, S.: Logical representation and fusion of prioritized information based on guaranteed possibility measures: Application to the distance-based merging of classical bases. Artif. Intell. 148(1-2), 291–333 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  22. Hue, J., Papini, O., Würbel, E.: Implementing prioritized merging with asp. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds.) Computational Intelligence for Knowledge-Based Systems Design. LNCS (LNAI), vol. 6178, Springer, Heidelberg (2010)

    Google Scholar 

  23. Gorogiannis, N., Hunter, A.: Implementing semantic merging operators using binary decision diagrams. Int. J. Approx. Reasoning 49(1), 234–251 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  24. Hue, J., Papini, O., Würbel, E.: Removed sets fusion: Performing off the shelf. In: Proc. of ECAI 2008. Frontiers in Art. Intel. and Appli., pp. 94–98. IOS Press, Amsterdam (2008)

    Google Scholar 

  25. Benferhat, S., Lagrue, S., Rossit, J.: An analysis of sum-based incommensurable belief base merging. In: Godo, L., Pugliese, A. (eds.) SUM 2009. LNCS, vol. 5785, pp. 55–67. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  26. Hue, J., Papini, O., Würbel, E.: Merging belief bases represented by logic programs. In: Sossai, C., Chemello, G. (eds.) ECSQARU 2009. LNCS, vol. 5590, pp. 371–382. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  27. Yue, A., Liu, W., Hunter, A.: Approaches to constructing a stratified merged knowledge base. In: Mellouli, K. (ed.) ECSQARU 2007. LNCS (LNAI), vol. 4724, pp. 54–65. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  28. Bloch, I., Lang, J.: Towards mathematical morpho-logics. In: Technologies for Constructing Intelligent Systems: Tools, pp. 367–380. Springer, Heidelberg (2002)

    Google Scholar 

  29. Konieczny, S., Pérez, R.P.: Merging with integrity constraints. In: Hunter, A., Parsons, S. (eds.) ECSQARU 1999. LNCS (LNAI), vol. 1638, pp. 233–244. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  30. Lin, J., Mendelzon, A.O.: Merging databases under constraints. Int. Journ. of Coop. Inf. Sys. 7(1), 55–76 (1998)

    Article  Google Scholar 

  31. Qi, G.: A model-based approach for merging prioritized knowledge bases in possibilistic logic. In: Proc. of AAAI 2007, pp. 471–476 (2007)

    Google Scholar 

  32. Benferhat, S., Cayrol, C., Dubois, D., Lang, J., Prade, H.: Inconsistency management and prioritized syntax-based entailment. In: Proc. of IJCAI 1993, pp. 640–647 (1993)

    Google Scholar 

  33. Seinturier, J., Papini, O., Drap, P.: A reversible framework bases merging. In: Hunter, T., Dix., J. (eds.) Proc. of NMR 2006, pp. 490–496 (2006)

    Google Scholar 

  34. Benferhat, S., Kaci, S., Berre, D.L., Williams, M.A.: Weakening conflicting information for iterated revision and knowledge integration. Artif. Intell. 153(1-2), 339–371 (2004)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. LSIS-CNRS, Université de Méditerranée, ESIL, 163 av. de Luminy, 13288, Marseille Cedex 09., France

    Odile Papini

Authors
  1. Odile Papini
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Maryland, MD 20910, College Park, USA

    Amol Deshpande

  2. Department of Computer Science, University College London, Gower Street, WC1E 6BT, London, UK

    Anthony Hunter

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Papini, O. (2010). Information Fusion. In: Deshpande, A., Hunter, A. (eds) Scalable Uncertainty Management. SUM 2010. Lecture Notes in Computer Science(), vol 6379. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15951-0_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15951-0_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15950-3

  • Online ISBN: 978-3-642-15951-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation