Patents by Inventor Elshaimaa Ali

Elshaimaa Ali 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).

  • Patent number: 11922336
    Abstract: The invention is ontology-based architecture for performing semantic data mining for insights. The major components of the architecture are illustrated using Network Ontology (NO), an ontology generated for the network domain for delivering improved network management. In addition, algorithms for summarizing performance profiles in the form of rank tables and for extracting insight rules (concrete action plan) from the rank tables are presented. By using this approach, an actionable plan for assisting decision maker can be obtained, as domain knowledge is incorporated in the system. Experimental results on a network dataset show that this model provides an optimal action plan for a network to improve its performance by encoding data-driven rules into the ontology and suggesting changes to its current network configuration.
    Type: Grant
    Filed: July 23, 2021
    Date of Patent: March 5, 2024
    Assignee: University of Louisiana at Lafayette
    Inventors: Maria Bala Duggimpudi, Abdelhamid Moursy, Elshaimaa Ali, Vijay V. Raghavan
  • Publication number: 20220019925
    Abstract: The invention is ontology-based architecture for performing semantic data mining for insights. The major components of the architecture are illustrated using Network Ontology (NO), an ontology generated for the network domain for delivering improved network management. In addition, algorithms for summarizing performance profiles in the form of rank tables and for extracting insight rules (concrete action plan) from the rank tables are presented. By using this approach, an actionable plan for assisting decision maker can be obtained, as domain knowledge is incorporated in the system. Experimental results on a network dataset show that this model provides an optimal action plan for a network to improve its performance by encoding data-driven rules into the ontology and suggesting changes to its current network configuration.
    Type: Application
    Filed: July 23, 2021
    Publication date: January 20, 2022
    Applicant: University of Louisiana at Lafayette
    Inventors: Maria Bala Duggimpudi, Abdelhamid Moursy, Elshaimaa Ali, Vijay V. Raghavan
  • Patent number: 11100415
    Abstract: The invention is ontology-based architecture for performing semantic data mining for insights. The major components of the architecture are illustrated using Network Ontology (NO), an ontology generated for the network domain for delivering improved network management. In addition, algorithms for summarizing performance profiles in the form of rank tables and for extracting insight rules (concrete action plan) from the rank tables are presented. By using this approach, an actionable plan for assisting decision maker can be obtained, as domain knowledge is incorporated in the system. Experimental results on a network dataset show that this model provides an optimal action plan for a network to improve its performance by encoding data-driven rules into the ontology and suggesting changes to its current network configuration.
    Type: Grant
    Filed: October 4, 2017
    Date of Patent: August 24, 2021
    Inventors: Maria Bala Duggimpudi, Abdelhamid Moursy, Elshaimaa Ali, Vijay V. Raghavan
  • Publication number: 20180096255
    Abstract: The invention is ontology-based architecture for performing semantic data mining for insights. The major components of the architecture are illustrated using Network Ontology (NO), an ontology generated for the network domain for delivering improved network management. In addition, algorithms for summarizing performance profiles in the form of rank tables and for extracting insight rules (concrete action plan) from the rank tables are presented. By using this approach, an actionable plan for assisting decision maker can be obtained, as domain knowledge is incorporated in the system. Experimental results on a network dataset show that this model provides an optimal action plan for a network to improve its performance by encoding data-driven rules into the ontology and suggesting changes to its current network configuration.
    Type: Application
    Filed: October 4, 2017
    Publication date: April 5, 2018
    Inventors: Maria Bala Duggimpudi, Abdelhamid Moursy, Elshaimaa Ali, Vijay V. Raghavan