IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v54y2003i10p939-951.html
   My bibliography  Save this article

Multidimensional Data Model and Query Language for Informetrics

Author

Listed:
  • Timo Niemi
  • Lasse Hirvonen
  • Kalervo Järvelin

Abstract

Multidimensional data analysis or On‐line analytical processing (OLAP) offers a single subject‐oriented source for analyzing summary data based on various dimensions. We demonstrate that the OLAP approach gives a promising starting point for advanced analysis and comparison among summary data in informetrics applications. At the moment there is no single precise, commonly accepted logical/conceptual model for multidimensional analysis. This is because the requirements of applications vary considerably. We develop a conceptual/logical multidimensional model for supporting the complex and unpredictable needs of informetrics. Summary data are considered with respect of some dimensions. By changing dimensions the user may construct other views on the same summary data. We develop a multidimensional query language whose basic idea is to support the definition of views in a way, which is natural and intuitive for lay users in the informetrics area. We show that this view‐oriented query language has a great expressive power and its degree of declarativity is greater than in contemporary operation‐oriented or SQL (Structured Query Language)‐like OLAP query languages.

Suggested Citation

  • Timo Niemi & Lasse Hirvonen & Kalervo Järvelin, 2003. "Multidimensional Data Model and Query Language for Informetrics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(10), pages 939-951, August.
    • Handle: RePEc:bla:jamist:v:54:y:2003:i:10:p:939-951
    DOI: 10.1002/asi.10290
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.10290
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.10290?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yu, Hairong & Davis, Mari & Wilson, Concepción S. & Cole, Fletcher T.H., 2008. "Object-relational data modelling for informetric databases," Journal of Informetrics, Elsevier, vol. 2(3), pages 240-251.

    More about this item

    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:bla:jamist:v:54:y:2003:i:10:p:939-951. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.