IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v54y2003i6p498-511.html
   My bibliography  Save this article

Searching for images: The analysis of users' queries for image retrieval in American history

Author

Listed:
  • Youngok Choi
  • Edie M. Rasmussen

Abstract

Users' queries for visual information in American history were studied to identify the image attributes important for retrieval and the characteristics of users' queries for images. The queries were collected from 38 faculty and graduate students of American history in 1999 in a local setting. Pre‐ and post‐test questionnaires and interview were employed to gather users' requests and search terms. The Library of Congress American Memory photo archive was used to search for images. Thirty‐eight natural language statements, 185 search terms provided by the participants, and 219 descriptors indicated by the participants in relevant retrieved records were analyzed to find the distribution of subject content of users' queries. Over half of the search requests fell into the category “general/nameable needs.” It was also found that most image content was described in terms of kind of person, thing, event, or condition depending on location or time. Title, date, and subject descriptors were mentioned as appropriate representation of image subject content. The result of this study suggests the principle categories of search terms for users in American history, suggesting directions for the development of indexing tools and system design for image retrieval systems.

Suggested Citation

  • Youngok Choi & Edie M. Rasmussen, 2003. "Searching for images: The analysis of users' queries for image retrieval in American history," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 498-511, April.
  • Handle: RePEc:bla:jamist:v:54:y:2003:i:6:p:498-511
    DOI: 10.1002/asi.10237
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.10237
    Download Restriction: no

    File URL: https://libkey.io/10.1002/asi.10237?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. Xiaoli Huang & Dagobert Soergel, 2013. "Relevance: An improved framework for explicating the notion," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 18-35, January.

    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:6:p:498-511. 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.