IDEAS home Printed from https://ideas.repec.org/p/ebg/essewp/dr-09014.html
   My bibliography  Save this paper

Combining Objects with Rules to Represent Aggregation Knowledge in Data Warehouse and OLAP Systems

Author

Listed:

Abstract

Data warehouses are based on multidimensional modeling. Using On-Line Analytical Processing (OLAP) tools, decision makers navigate through and analyze multidimensional data. Typically, users need to analyze data at different aggregation levels (using roll-up and drill-down functions). Therefore, aggregation knowledge should be adequately represented in conceptual multidimensional models, and mapped in subsequent logical and physical models. However, current conceptual multidimensional models poorly represent aggregation knowledge, which (1) has a complex structure and dynamics and (2) is highly contextual. In order to account for the characteristics of this knowledge, we propose to represent it with objects (UML class diagrams) and rules in Production Rule Representation (PRR) language. Static aggregation knowledge is represented in the class diagrams, while rules represent the dynamics (i.e. how aggregation may be performed depending on context). We present the class diagrams, and a typology and examples of associated rules. We argue that this representation of aggregation knowledge allows an early modeling of user requirements in a data warehouse project.

Suggested Citation

  • Akoka, Jacky & Comyn-wattiau, Isabelle & Prat, Nicolas, 2009. "Combining Objects with Rules to Represent Aggregation Knowledge in Data Warehouse and OLAP Systems," ESSEC Working Papers DR 09014, ESSEC Research Center, ESSEC Business School.
  • Handle: RePEc:ebg:essewp:dr-09014
    as

    Download full text from publisher

    File URL: http://www.essec.fr/faculty/showDeclFileRes.do?declId=8845&key=__workpaper__
    Download Restriction: no

    References listed on IDEAS

    as
    1. Baroni, Michel & Barthélémy, Fabrice & Mokrane, Mahdi, 2005. "A PCA Factor Repeat Sales Index (1973-2001) To Forecast Apartment Prices in Paris (France)," ESSEC Working Papers DR 05002, ESSEC Research Center, ESSEC Business School.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Aggregation; Conceptual Multidimensional Model; Data Warehouse; On-line Analytical Processing (OLAP); Production Rule; UML;

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebg:essewp:dr-09014. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sophie Magnanou). General contact details of provider: http://edirc.repec.org/data/essecfr.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.