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Pattern Based Management: Data Models and Architectural Aspects

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Current Trends in Database Technology - EDBT 2004 Workshops (EDBT 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3268))

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Abstract

Patterns are concise, but rich in semantic, representation of data (data mining results, multimedia features, Web structural information, etc.). Only few approaches exist to deal with heterogeneous patterns, even if this is an hot topic in most data-intensive and distributed applications. The aim of this thesis is to investigate the potentiality of pattern-based management. In particular, we plan to define sufficiently expressive pattern data models and languages to cope with different types of patterns. Besides, investigation of architectural issues concerning the usage of the proposed model and languages in centralized and advanced distributed environments will be exploited.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica e Scienze dell’Informazione, Università degli Studi di Genova, Italy

    Anna Maddalena

Authors
  1. Anna Maddalena
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Editor information

Editors and Affiliations

  1. Sidonia Systems, Grubmühl 20, D-82131, Stockdorf, Germany

    Wolfgang Lindner

  2. Università di Milano, Italy

    Marco Mesiti

  3. Functional Genomics Center Zurich (FGCZ), UZH / ETH Zurich, Winterthurerstrasse 190, CH–8057, Zurich, Switzerland

    Can Türker

  4. Computer Science Department, University of Crete, GREECE, and, Institute of Computer Science, FORTH-ICS, Greece

    Yannis Tzitzikas

  5. Aristotle University of Thessaloniki,  

    Athena I. Vakali

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© 2004 Springer-Verlag Berlin Heidelberg

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Maddalena, A. (2004). Pattern Based Management: Data Models and Architectural Aspects. In: Lindner, W., Mesiti, M., Türker, C., Tzitzikas, Y., Vakali, A.I. (eds) Current Trends in Database Technology - EDBT 2004 Workshops. EDBT 2004. Lecture Notes in Computer Science, vol 3268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30192-9_6

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  • DOI: https://doi.org/10.1007/978-3-540-30192-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23305-3

  • Online ISBN: 978-3-540-30192-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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