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Somewhere2 – A Robust Package for Collaborative Decentralized Consequence-Finding

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 511))

Abstract

This paper presents Somewhere2, a new framework that may be used for setting up peer-to-peer inference systems and for solving consequence finding problems in a completely decentralized way. It is a complete redesign and reengineering of an earlier platform. The new architecture has gained in genericity, modularity and robustness. It is much easier to extend and/or to reuse as a building block for advanced distributed applications, such as Peer Data Management Systems.

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References

  1. Adjiman, P., Chatalic, P., Goasdoué, F., Rousset, M.-C., Simon, L.: Distributed reasoning in a peer-to-peer setting: Application to the semantic web. JAIR, 25 (January 2006)

    Google Scholar 

  2. Amir, E., McIlraith, S.: Partition-based logical reasoning. In: KR, pp. 389–400 (2000)

    Google Scholar 

  3. Bourgne, G., Inoue, K.: Partition-based consequence finding. In: ICTAI, pp. 641–648 (2011)

    Google Scholar 

  4. Chatalic, P., Nguyen, G.H., Rousset, M.C.: Reasoning with Inconsistencies in Propositional Peer-to-Peer Inference Systems. In: ECAI, pp. 352–357 (August 2006)

    Google Scholar 

  5. Halevy, A.Y., Ives, Z., Tatarinov, I., Mork, P.: Piazza: data management infrastructure for semantic web applications, pp. 556–567. ACM Press (2003)

    Google Scholar 

  6. Shoal – a dynamic clustering framework, http://shoal.java.net

  7. Jgroups - a toolkit for reliable multicast communication, http://www.jgroups.org

  8. Kean, A., Tsiknis, G.K.: An incremental method for generating prime implicants/impicates. J. Symb. Comput. 9(2), 185–206 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  9. Lee, C.T.: A completeness theorem and a computer program for finding theorems derivable from given axioms. PhD thesis, Univ. of California, Berkeley, CA (1967)

    Google Scholar 

  10. Marquis, P.: Consequence Finding Algorithms. In: Handbook on Defeasible Reasoning and Uncertainty Management Systems, vol. 5, pp. 41–145. Kluwer Academic (2000)

    Google Scholar 

  11. Nejdl, W., Wolf, B., Qu, C., Decker, S., Sintek, M., et al.: Edutella: a p2p networking infrastructure based on rdf, pp. 604–615. ACM (May 2002)

    Google Scholar 

  12. Siegel, P.: Représentation et utilisation de la connaissance en calcul propositionnel. PhD thesis, Université d’Aix-Marseille II (1987)

    Google Scholar 

  13. Jxta: A language and platform independent protocol for p2p networking, http://jxta.kenai.com

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Correspondence to Philippe Chatalic .

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© 2014 Springer International Publishing Switzerland

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Chatalic, P., de Amorim Fonseca, A. (2014). Somewhere2 – A Robust Package for Collaborative Decentralized Consequence-Finding. In: Zavoral, F., Jung, J., Badica, C. (eds) Intelligent Distributed Computing VII. Studies in Computational Intelligence, vol 511. Springer, Cham. https://doi.org/10.1007/978-3-319-01571-2_13

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  • DOI: https://doi.org/10.1007/978-3-319-01571-2_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01570-5

  • Online ISBN: 978-3-319-01571-2

  • eBook Packages: EngineeringEngineering (R0)

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