Patents by Inventor Ju Y. Lee

Ju Y. Lee 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: 20220218830
    Abstract: The present disclosure relates to pyrrolobenzodiazepine dimer prodrugs and ligand-linker conjugates thereof. The present disclosure also relates to compositions and uses of said prodrugs and conjugates.
    Type: Application
    Filed: March 29, 2018
    Publication date: July 14, 2022
    Inventors: Ho Young Song, Sung Min Kim, Hyoungrae Kim, Kyung Eun Park, Chul-Woong Chung, Yun Hee Park, Hyo Jung Choi, Su In Lee, Juyuel Baek, Hyeun J. Lee, Ju Y. Lee, Ji Hye Oh, Jeiwook Chae, Yeong Soo Oh, Yong Zu Kim
  • Patent number: 9256672
    Abstract: Embodiments of the present invention provide a novel and non-obvious method, server and computer program product for finding relevant content in a knowledge base. A method for finding items that are related to a user selected item in a knowledge base is provided. The method can include generating a first list of knowledge base items with a defined relationship to the user selected item and generating a second list of knowledge base items that belong to the same category as a category of the user selected item. The method can further include generating a third list of knowledge base items having one or more tags identical to one or more tags of the user selected item and selecting a first set of knowledge base items that are present in the first, second or third lists. The method can further include displaying the first set of knowledge base items as most relevant.
    Type: Grant
    Filed: October 16, 2008
    Date of Patent: February 9, 2016
    Assignee: International Business Machines Corporation
    Inventors: Clyde L. Cain, Jr., Feng-Wei Chen, Ju Y. Lee, Margaret H. Mago, Nikhil R. Parekh, William D. Reed
  • Patent number: 7966348
    Abstract: One aspect of the present invention includes dynamically selecting templates through the use of an ontology. In one embodiment, an ontology is defined to structure information system content, and an ontology classification is then assigned when content is provided to the information system. Based on this classification, the most appropriate template classified in the ontology is applied to the content. If a template exists at the content item's ontology level, this template is applied to the content. If no template exists, then the ontology tree is navigated upward to locate a template at the nearest ancestor ontology level. If a template was found by navigating the ontology tree, then this template is applied to the content item.
    Type: Grant
    Filed: June 27, 2008
    Date of Patent: June 21, 2011
    Assignee: International Business Machines Corporation
    Inventors: Feng-wei Chen, John M. Holtman, Ju Y. Lee, Margaret H. Mago, Nikhil R. Parekh, William R. Reed
  • Publication number: 20100114886
    Abstract: Embodiments of the present invention provide a novel and non-obvious method, server and computer program product for finding relevant content in a knowledge base. A method for finding items that are related to a user selected item in a knowledge base is provided. The method can include generating a first list of knowledge base items with a defined relationship to the user selected item and generating a second list of knowledge base items that belong to the same category as a category of the user selected item. The method can further include generating a third list of knowledge base items having one or more tags identical to one or more tags of the user selected item and selecting a first set of knowledge base items that are present in the first, second or third lists. The method can further include displaying the first set of knowledge base items as most relevant.
    Type: Application
    Filed: October 16, 2008
    Publication date: May 6, 2010
    Inventors: Clyde L. Cain, JR., Feng-Wei Chen, Ju Y. Lee, Margaret H. Mago, Nikhil R. Parekh, William D. Reed
  • Publication number: 20090327189
    Abstract: One aspect of the present invention includes dynamically selecting templates through the use of an ontology. In one embodiment, an ontology is defined to structure information system content, and an ontology classification is then assigned when content is provided to the information system. Based on this classification, the most appropriate template classified in the ontology is applied to the content. If a template exists at the content item's ontology level, this template is applied to the content. If no template exists, then the ontology tree is navigated upward to locate a template at the nearest ancestor ontology level. If a template was found by navigating the ontology tree, then this template is applied to the content item.
    Type: Application
    Filed: November 25, 2008
    Publication date: December 31, 2009
    Applicant: International Business Machines Corporation
    Inventors: Feng-wei Chen, John M. Holtman, Ju Y. Lee, Margaret H. Mago, Nikhil R. Parekh, William D. Reed
  • Publication number: 20090327337
    Abstract: One aspect of the present invention includes dynamically selecting templates through the use of an ontology. In one embodiment, an ontology is defined to structure information system content, and an ontology classification is then assigned when content is provided to the information system. Based on this classification, the most appropriate template classified in the ontology is applied to the content. If a template exists at the content item's ontology level, this template is applied to the content. If no template exists, then the ontology tree is navigated upward to locate a template at the nearest ancestor ontology level. If a template was found by navigating the ontology tree, then this template is applied to the content item.
    Type: Application
    Filed: June 27, 2008
    Publication date: December 31, 2009
    Applicant: International Business Machines Corporation
    Inventors: Ju Y. Lee, Margaret H. Mago, William D. Reed, Feng-wei Chen, Nikhil R. Parekh, John M. Holtman