Patents by Inventor Theodor Razvan IONESCU

Theodor Razvan IONESCU 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).

  • Identifying patterns of a set of software applications
    Patent number: 10621154
    Abstract: A mechanism is provided for identifying patterns of a set of software applications instances from their documents. The computer-implemented method begins with constructing different attribute vector types using a knowledge ontology. The knowledge ontology captures semantics based on keywords associated with resource attributes derived from one or more documents related to at least a portion of these software application instances. A knowledge base is built from the attribute vector types and the documents of these application instances. These are merged into the knowledge base with the knowledge base previously built from previous software application instances. Analytics are performed on the knowledge base to identify at least one of common patterns of deployments, configurations, or other attribute vector types, or a combination thereof.
    Type: Grant
    Filed: December 31, 2015
    Date of Patent: April 14, 2020
    Assignee: International Business Machines Corporation
    Inventors: Yu Deng, Theodor Razvan Ionescu, Simon J. Kofkin-Hansen, Ruchi Mahindru, Christopher Moss, Harigovind Venkatraj Ramasamy, Soumitra Sarkar, Richard Christopher Smith, Long Wang
  • IDENTIFYING PATTERNS OF A SET OF SOFTWARE APPLICATIONS
    Publication number: 20170193021
    Abstract: A mechanism is provided for identifying patterns of a set of software applications instances from their documents. The computer-implemented method begins with constructing different attribute vector types using a knowledge ontology. The knowledge ontology captures semantics based on keywords associated with resource attributes derived from one or more documents related to at least a portion of these software application instances. A knowledge base is built from the attribute vector types and the documents of these application instances. These are merged into the knowledge base with the knowledge base previously built from previous software application instances. Analytics are performed on the knowledge base to identify at least one of common patterns of deployments, configurations, or other attribute vector types, or a combination thereof.
    Type: Application
    Filed: December 31, 2015
    Publication date: July 6, 2017
    Inventors: Yu DENG, Theodor Razvan IONESCU, Simon J. KOFKIN-HANSEN, Ruchi MAHINDRU, Christopher MOSS, Harigovind Venkatraj RAMASAMY, Soumitra SARKAR, Richard Christopher SMITH, Long WANG