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Viral Knowledge Acquisition Through Social Networks

  • Conference paper
Autonomous Intelligent Systems: Multi-Agents and Data Mining (AIS-ADM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4476))

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Abstract

In this paper, we present an approach for semi-structured knowledge acquisition through the concept of Structured Semantic Wiki, based on social virus spreading in the internet-based community. This approach allows harnessing collective intelligence of a community and inducing structured annotated knowledgebase of community relations by viral-driven actions of community participants.

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References

  1. Soshnikov, D.: Multi-agent Approach for Community Clustering Based on Individual Ontology Annotations. In: Gorodetsky, V., Liu, J., Skormin, V. (eds.) Autonomous Intelligent Systems: Agents and Data Mining. Lecture Notes on Computer Science, vol. 3505, pp. 247–262. Springer, Heidelberg (2005)

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  2. Tazzoli, R., Castagna, P., Campanini, S.E.: Towards a semantic wiki web. In: Proceedings of the International Semantic Web Conference (2004)

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  3. Tivelkov, A.: Building Problem-Oriented Meta-Interactive Web Resources Based on Frame Knowledge Representation. In: Proc. of Conference Microsoft Technologies in Theory and Practice of Programming, MSU Publishing (2006)

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Author information

Authors and Affiliations

  1. Moscow Aviation Technical University,  

    Dmitri Soshnikov & Mikhail Chernomordikov

Authors
  1. Dmitri Soshnikov
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  2. Mikhail Chernomordikov
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Editor information

Vladimir Gorodetsky Chengqi Zhang Victor A. Skormin Longbing Cao

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© 2007 Springer Berlin Heidelberg

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Soshnikov, D., Chernomordikov, M. (2007). Viral Knowledge Acquisition Through Social Networks. In: Gorodetsky, V., Zhang, C., Skormin, V.A., Cao, L. (eds) Autonomous Intelligent Systems: Multi-Agents and Data Mining. AIS-ADM 2007. Lecture Notes in Computer Science(), vol 4476. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72839-9_26

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  • DOI: https://doi.org/10.1007/978-3-540-72839-9_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72838-2

  • Online ISBN: 978-3-540-72839-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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