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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© 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)Springer Nature Proceedings Computer Science
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