Patents by Inventor Wenling Cai

Wenling Cai 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).

  • Processing archive content based on hierarchical classification levels
    Patent number: 8495027
    Abstract: Processing archive content based on hierarchical classification levels is performed by indexing a first newly archived file of a current set of archive content at a first classification level defining a plurality of types of metadata to be derived, wherein the first classification level is selected from a hierarchy of classification levels having at least two classification levels, indexing a second newly archived file of the current set of archive content at a second classification level, wherein the second classification level includes fewer types of metadata than the first class of metadata, and flagging the second newly archived file of the current set of archive content. By classifying and flagging the second newly archived file differently than the first newly archived file, the system can easily retrieve such data at a later instance to update and/or change the data, re-index the data, and the like.
    Type: Grant
    Filed: June 27, 2012
    Date of Patent: July 23, 2013
    Assignee: International Business Machines Corporation
    Inventors: Karen W. Brannon, Wenling Cai, Sangeeta T. Doraiswamy, Ryan John Minniear, David A. Pease, Mark Andrew Smith
  • PROCESSING ARCHIVE CONTENT BASED ON HIERARCHICAL CLASSIFICATION LEVELS
    Publication number: 20130151476
    Abstract: Processing archive content based on hierarchical classification levels is performed by indexing a first newly archived file of a current set of archive content at a first classification level defining a plurality of types of metadata to be derived, wherein the first classification level is selected from a hierarchy of classification levels having at least two classification levels, indexing a second newly archived file of the current set of archive content at a second classification level, wherein the second classification level includes fewer types of metadata than the first class of metadata, and flagging the second newly archived file of the current set of archive content. By classifying and flagging the second newly archived file differently than the first newly archived file, the system can easily retrieve such data at a later instance to update and/or change the data, re-index the data, and the like.
    Type: Application
    Filed: June 27, 2012
    Publication date: June 13, 2013
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Karen W. BRANNON, Wenling CAI, Sangeeta DORAISWAMY, Ryan J. MINNIEAR, David A. PEASE, Mark A. SMITH
  • Processing archive content based on hierarchical classification levels
    Patent number: 8442951
    Abstract: Processing archive content based on hierarchical classification levels is performed by indexing a first newly archived file of a current set of archive content at a first classification level defining a plurality of types of metadata to be derived, wherein the first classification level is selected from a hierarchy of classification levels having at least two classification levels, indexing a second newly archived file of the current set of archive content at a second classification level, wherein the second classification level includes fewer types of metadata than the first class of metadata, and flagging the second newly archived file of the current set of archive content. By classifying and flagging the second newly archived file differently than the first newly archived file, the system can easily retrieve such data at a later instance to update and/or change the data, re-index the data, and the like.
    Type: Grant
    Filed: December 7, 2011
    Date of Patent: May 14, 2013
    Assignee: International Business Machines Corporation
    Inventors: Karen W. Brannon, Wenling Cai, Sangeeta T. Doraiswamy, Ryan John Minniear, David A. Pease, Mark Andrew Smith