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Fuzzy Integration of Web Data Sources for Data Warehousing

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4739))

Abstract

In this paper we show our work related to an approach for monitoring web sources on the World Wide Web using its temporal properties in order to integrate them in a temporal Data Warehouse. We use these temporal properties obtained for integrating data more efficiently from different data sources according to the requirements of the Data Warehouse administrator. For this integration process we proposed a parallel fuzzy temporal semantic algorithm based on a flexible query language called FSQL in order to obtain more precise data in the Data Warehouse. In addition, we show an application applied to tourism area where data integrated into Data Warehouse can be used to schedule personalized travel as a value-added service for electronic commerce.

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Roberto Moreno Díaz Franz Pichler Alexis Quesada Arencibia

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© 2007 Springer-Verlag Berlin Heidelberg

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Araque, F., Salguero, A.G., Carrasco, R., Delgado, C. (2007). Fuzzy Integration of Web Data Sources for Data Warehousing. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75867-9_151

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  • DOI: https://doi.org/10.1007/978-3-540-75867-9_151

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75866-2

  • Online ISBN: 978-3-540-75867-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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