Patents by Inventor Mary Sturgeon

Mary Sturgeon has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20070260588
    Abstract: A method, apparatus and computer-usable medium for the selective, contextual retrieval and presentation of information used in review processes. Search criteria is entered for information to be retrieved for review and information source documents are then searched, maintaining references to the contextual levels encountered (e.g., chapter, section, sub-section, etc.). Once the search is completed, a hierarchical list of sentence extracts matching the search criteria and indicating their location in their respective source document is presented to the reviewer. The user can then select any level of the hierarchical view, which then displays an expanded view of the related section of the source document. The retrieved information can be exported to a plurality of formats, which are annotatable by the reviewer. Users are thereby provided with information relevant to the subject under review, structured and presented in the context of its usage within its associated source document.
    Type: Application
    Filed: May 8, 2006
    Publication date: November 8, 2007
    Applicant: International Business Machines Corporation
    Inventors: Ana Biazetti, Virginia Hill, Mary Sturgeon
  • Publication number: 20060036991
    Abstract: Under the present invention, a sequence of actions made by a user in operating a software system is tracked. Upon request by the user, predictive help is given based on the sequence of actions. In a typical embodiment, the predictive help is contained in a knowledge base, which is initially built during development of the software system. Specifically, the knowledge base is populated based on sequences of actions by other users as they operate the software system during its development. Moreover, the knowledge base can be updated after release of the software system as the user operates the system. To this extent, the knowledge base will “learn” the patterns of the user, and the predictive help will be continually tailored based thereon.
    Type: Application
    Filed: August 12, 2004
    Publication date: February 16, 2006
    Applicant: International Business Machines Corporation
    Inventors: Ana Biazetti, Sean Logue, Radhika Ramakrishnan, Mary Sturgeon