• Login
    View Item 
    •   UBIR Home
    • University Libraries
    • A. Ben Wagner (public)
    • View Item
    •   UBIR Home
    • University Libraries
    • A. Ben Wagner (public)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    SciFinder Scholar 2006: An Empirical Analysis of Research Topic Query Processing

    Thumbnail
    View/Open
    JCIM ABW.pdf (112.9Kb)
    Date
    2006-03
    Author
    Wagner, A. Ben
    Metadata
    Show full item record
    Abstract
    Topical search queries in SciFinder Scholar are processed through an extensive set of natural language processing algorithms that greatly enhance the relevance and comprehensiveness of the search results. Little detailed documentation on these algorithms has been published. However, a careful examination of the highlighted hit terms coupled with a comparison of results from small variations in query language reveal much additional, useful information about these algorithms. An understanding of how these algorithms work can lead to better search results and explain many unexpected results, including differing hit counts for singular versus plural query words and phrases.
    URI
    http://hdl.handle.net/10477/12891
    Collections
    • A. Ben Wagner (public)

    To add content to the repository or for technical support: Contact Us
     

     

    Browse

    All of UBIRCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypesThis CollectionBy Issue DateAuthorsTitlesSubjectsTypes

    My Account

    LoginRegister

    To add content to the repository or for technical support: Contact Us