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Domain knowledge-assisted information processing

  • US 7,542,969 B1
  • Filed: 11/03/2005
  • Issued: 06/02/2009
  • Est. Priority Date: 11/03/2004
  • Status: Expired due to Fees
First Claim
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1. A method of searching for information, comprising:

  • receiving a query;

    providing the query to a first search engine that searches a set of data sources, the data sources having relationships to at least one ontology, the ontology modeling relationships between concepts in a domain and data source content containing information specific to the concepts;

    receiving search results from the search engine;

    analyzing the search results with one or more processors to determine at least one statistic corresponding to the search results and the query, wherein the statistic is based upon a relevance score for each of a plurality of concepts given the query, the relevance score expressed as r cq = w

    ( c )




    i




    [ w

    ( i )


    f

    ( h c , h q )
    ]
    where w(c) is a weighing function related to a concept c, w(i) is a weighing function for a data source item i, hc is a set of items related to the concept c, hq is a set of items related to the query q, and ƒ

    (hc, hq) is a normalized score function, wherein weighing function w (i) varies by data source;

    providing a subset of the concepts to a user based on the relevance score; and

    using a template to process domain specific rules and the subset of the concepts.

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