An Object Data Warehousing Approach: a Web Site Repository

نویسندگان

  • Franck Ravat
  • Olivier Teste
چکیده

Internet provides a huge amount of data, but this information cannot be exploited to make decisions. An integrated view over multiple, autonomous and heterogeneous Web sources can be defined as a data warehouse which collects relevant data and keeps history (evolutions) of data to improve decision making. A data warehouse exploits large volumes of data to turn passive information into useful actionable information. This paper deals with conceptual data warehouse design problems. We depict an object-oriented data warehouse model, which is adapted to store Web data. This paper provides two new concepts integrating the significant temporal aspects of the data warehouse data. We provide a warehouse object concept which represents extracted data and keeps data evolutions within detailed or archive forms. The warehouse class concept integrates the warehouse object characteristics through temporal and archive filters.

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تاریخ انتشار 2000