IDEAS home Printed from https://ideas.repec.org/a/bla/jamest/v42y1991i9p676-684.html
   My bibliography  Save this article

Subject and citation indexing. Part II: The optimal, cluster‐based retrieval performance of composite representations

Author

Listed:
  • W. M. Shaw, Jr.

Abstract

Measures of cluster‐based retrieval effectiveness are computed for five composite representations in the cystic fibrosis (CF) Document Collection. The composite representations are constructed from combinations of two subject representations, based on Medical Subject Headings and subheadings, and two citation representations, consisting of the complete list of cited references and a comprehensive list of citations for each document. Experimental retrieval results are presented as a function of the exhaustivity and similarity of the composite representations and reveal consistent patterns from which optimal performance levels can be identified. The optimal performance values provide an assessment of the absolute capacity of each composite representation to associate documents relevant to the same query and discriminate between documents relevant to different queries in single‐link hierarchies. The optimal performance values for all composite representations are completely comparable and are superior to the optimal performance of constituent representations. Optimal performance consistently occurs at low levels of exhaustivity. Exhaustive composite representations that include subject descriptions produce the lowest levels of performance; retrieval results derived from random structures are comparable to the observed results. The effectiveness of the exhaustive representation composed of references and citations is materially superior to the effectiveness of exhaustive composite representations that include subject descriptions. © 1991 John Wiley & Sons, Inc.

Suggested Citation

  • W. M. Shaw, Jr., 1991. "Subject and citation indexing. Part II: The optimal, cluster‐based retrieval performance of composite representations," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 42(9), pages 676-684, October.
  • Handle: RePEc:bla:jamest:v:42:y:1991:i:9:p:676-684
    DOI: 10.1002/(SICI)1097-4571(199110)42:93.0.CO;2-2
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1097-4571(199110)42:93.0.CO;2-2
    Download Restriction: no

    File URL: https://libkey.io/10.1002/(SICI)1097-4571(199110)42:93.0.CO;2-2?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
    ---><---

    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:jamest:v:42:y:1991:i:9:p:676-684. 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.