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Managing Diversity in Knowledge

  • Conference paper
Advances in Applied Artificial Intelligence (IEA/AIE 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4031))

Abstract

We are facing an unforeseen growth of the complexity of data, content and knowledge. Here we talk of complexity meaning the size, the sheer numbers, the spatial and temporal pervasiveness of knowledge, and the unpredictable dynamics of knowledge change, unknown at design time but also at run time.

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Author information

Authors and Affiliations

  1. Department of Information and Communication Technology, University of Trento, 38050, Povo di Trento, Italy

    Fausto Giunchiglia

Authors
  1. Fausto Giunchiglia
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University-San Marcos, Nueces 247, 601 University Drive, 78666-4616, San Marcos, TX, USA

    Moonis Ali

  2. ESIA Laboratoire d’Informatique, Sytèmes, Traitement de l’Information et de la Connaissance, Université de Savoie, B.P. 806, F-74016, ANNECY Cedex, France

    Richard Dapoigny

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© 2006 Springer-Verlag Berlin Heidelberg

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Giunchiglia, F. (2006). Managing Diversity in Knowledge. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_1

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  • DOI: https://doi.org/10.1007/11779568_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35453-6

  • Online ISBN: 978-3-540-35454-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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