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Cubing Web Data Based on Multidimensional Arrays

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Book cover Advances in Computer Science – ASIAN 2005. Data Management on the Web (ASIAN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3818))

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Abstract

Data Warehousing and OLAP technologies enable enterprises to achieve Business Intelligence (BI). Since the Web is the largest independent information repository, systematically integrating suitable Web data into a data warehouse will benefit the enterprise. This paper introduces a Web data warehousing system in the MOLAP environment. A transformation approach is proposed to construct a base cube and then aggregates are precomputed over the base cube. To specify the aggregation rules we have developed a SQL style language that uses external functions for retrieving array data, computing aggregates, populating aggregated cubes.

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References

  1. Bornhövd, C.: Semantic Metadata for the Integration of Data Source from the Internet. PhD thesis, Department of Computer Science, Darmstadt University of Technology, Germany (2001)

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Author information

Authors and Affiliations

  1. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, China

    Yan Zhu

  2. Department of Computer Science, Darmstadt University of Technology, 64287, Darmstadt, Germany

    Alejandro P. Buchmann

Authors
  1. Yan Zhu
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  2. Alejandro P. Buchmann
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Editor information

Editors and Affiliations

  1. INRIA-LIAMA Institute of Automation, Beijing, China

    Stéphane Grumbach

  2. Computer Science and Engineering Department, San Diego, University of California, 92093-0404, La Jolla, CA, USA

    Liying Sui

  3. UC San Diego, USA

    Victor Vianu

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhu, Y., Buchmann, A.P. (2005). Cubing Web Data Based on Multidimensional Arrays. In: Grumbach, S., Sui, L., Vianu, V. (eds) Advances in Computer Science – ASIAN 2005. Data Management on the Web. ASIAN 2005. Lecture Notes in Computer Science, vol 3818. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596370_31

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  • DOI: https://doi.org/10.1007/11596370_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30767-9

  • Online ISBN: 978-3-540-32249-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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