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Why query annotations may help in providing accurate public health information

Published: 02 November 2012 Publication History

Abstract

The mobility era has highlighted the importance of information providers to better understand the needs of the information seekers, even when the user interaction becomes less verbose. This is even more important in contexts like health care, where an understanding of the users' language and intentions is critical to provide accurate health information. To study the used language we utilize an annotation-based method to analyze if the seekers' language deviates from the health care professionals', and the one found in medical terminologies and information sources. By an analysis of the use of a major public Swedish health information portal we present, in our opinion, a surprising overlap in the language used by laymen and professionals, thereby supporting the use of terminology-based annotation to facilitate improved information retrieval in this setting.

References

[1]
A.-M. Eklund. Tracking changes in search behaviour at a health web site. In Proceedings of the 24th European Medical Informatics Conference, August 2012.
[2]
D. Oelke, A.-M. Eklund, S. Marinov, and D. Kokkinakis. Visual analytics and the language of web query logs - a terminology perspective. In The 15th EURALEX International Congress (European Association of Lexicography), August 2012.

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  • (2012)Report on the fifth workshop on exploiting semantic annotations in information retrieval (ESAIR'12)ACM SIGIR Forum10.1145/2492189.249219647:1(38-45)Online publication date: 7-Jun-2012
  • (2012)Fifth workshop on exploiting semantic annotations in information retrievalProceedings of the 21st ACM international conference on Information and knowledge management10.1145/2396761.2398761(2772-2773)Online publication date: 29-Oct-2012

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    cover image ACM Conferences
    ESAIR '12: Proceedings of the fifth workshop on Exploiting semantic annotations in information retrieval
    November 2012
    28 pages
    ISBN:9781450317177
    DOI:10.1145/2390148

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 November 2012

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    Author Tags

    1. health
    2. search log
    3. semantic analysis

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    • (2012)Report on the fifth workshop on exploiting semantic annotations in information retrieval (ESAIR'12)ACM SIGIR Forum10.1145/2492189.249219647:1(38-45)Online publication date: 7-Jun-2012
    • (2012)Fifth workshop on exploiting semantic annotations in information retrievalProceedings of the 21st ACM international conference on Information and knowledge management10.1145/2396761.2398761(2772-2773)Online publication date: 29-Oct-2012

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