Patents by Inventor Stephane DEPARIS

Stephane DEPARIS 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: 20210374558
    Abstract: Various embodiments are provided for providing intelligent library management in a computing environment by a processor. Application compatibility may be learned from a plurality of projects, repositories, application libraries, data sources, or a combination thereof. A list of recommended application libraries, ordered according to the application compatibility, may be automatically provided for implementation, integration, or replacements of one or more sections of an application library.
    Type: Application
    Filed: June 2, 2020
    Publication date: December 2, 2021
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pierpaolo TOMMASI, Debasis GANGULY, Stephane DEPARIS, Alessandra PASCALE
  • Patent number: 11023681
    Abstract: Embodiments for co-reference resolution and entity linking from unstructured text data by a processor. Semantic co-references and mentions of one or more entities may be resolved occurring in unstructured text data by linking the one or more entities using a domain knowledge ontology.
    Type: Grant
    Filed: September 19, 2018
    Date of Patent: June 1, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yassine Lassoued, Lea Deleris, Stephane Deparis, Killian Levacher, Charles A. Jochim, Yufang Hou, Elizabeth Daly
  • Patent number: 11003716
    Abstract: Embodiments for discovery and analysis of interpersonal relationships from a collection of unstructured text data by a processor. A relationship between one or more entities and extracted text data from a plurality of unstructured text data may be identified such that the relationship includes a sentiment of the relationship, a type of relationship, temporal information, or a combination thereof. The one or more entities may be associated with a knowledge graph based on an ontology of concepts representing a domain knowledge. The extracted information and the identified relationship may be automatically aggregated into a multi-graph representation.
    Type: Grant
    Filed: January 10, 2017
    Date of Patent: May 11, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Francesca Bonin, Elizabeth M. Daly, Lea A. Deleris, Stephane Deparis, Yufang Hou, Charles A. Jochim, Yassine Lassoued
  • Publication number: 20210064635
    Abstract: Embodiments facilitating data exploration in a computing environment by a processor. A multidimensional dataset may be received. The multidimensional dataset may be processed according to booting operation parameters. A visualization and exploration of an interactive representation of one or more probabilistic models using multidimensional dataset.
    Type: Application
    Filed: September 3, 2019
    Publication date: March 4, 2021
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pierpaolo TOMMASI, Alessandra PASCALE, Stephane DEPARIS
  • Publication number: 20200089766
    Abstract: Embodiments for co-reference resolution and entity linking from unstructured text data by a processor. Semantic co-references and mentions of one or more entities may be resolved occurring in unstructured text data by linking the one or more entities using a domain knowledge ontology.
    Type: Application
    Filed: September 19, 2018
    Publication date: March 19, 2020
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yassine LASSOUED, Lea DELERIS, Stephane DEPARIS, Killian LEVACHER, Charles A. JOCHIM, Yufang HOU, Elizabeth DALY
  • Publication number: 20200082290
    Abstract: Techniques that facilitate adaptive anonymization of data using statistical inference are provided. In one example, a system includes an anonymization component and a statistical learning component. The anonymization component applies an anonymization strategy to data associated with an electronic device. The statistical learning component modifies the anonymization strategy to generate an updated anonymization strategy for the data based on a machine learning process associated with a probabilistic model that represents the data.
    Type: Application
    Filed: September 11, 2018
    Publication date: March 12, 2020
    Inventors: Alessandra Pascale, Naoise Holohan, Pierpaolo Tommasi, Stephane Deparis
  • Publication number: 20180197088
    Abstract: Embodiments for discovery and analysis of interpersonal relationships from a collection of unstructured text data by a processor. A relationship between one or more entities and extracted text data from a plurality of unstructured text data may be identified such that the relationship includes a sentiment of the relationship, a type of relationship, temporal information, or a combination thereof. The one or more entities may be associated with a knowledge graph based on an ontology of concepts representing a domain knowledge. The extracted information and the identified relationship may be automatically aggregated into a multi-graph representation.
    Type: Application
    Filed: January 10, 2017
    Publication date: July 12, 2018
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Francesca BONIN, Elizabeth M. DALY, Lea A. DELERIS, Stephane DEPARIS, Yufang HOU, Charles A. JOCHIM, Yassine LASSOUED