Patents by Inventor Michele M. Franceschini

Michele M. Franceschini 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: 10572521
    Abstract: According to an aspect, automatically adding new concepts to a concept graph includes receiving a string of text, searching a corpus of data to locate additional text related to the string of text, and extracting concepts from the additional text. The extracted concepts include a subset of concepts in the concept graph. The adding new concepts also includes determining whether the string of text should be linked to an existing concept in the concept graph, performing the linking based on determining that the string of text should be linked to the existing concept in the concept graph and, based on determining that the string of text should not be linked to an existing concept in the concept graph, adding a new concept to the concept graph. The new concept is associated with the string of text.
    Type: Grant
    Filed: March 6, 2017
    Date of Patent: February 25, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michele M. Franceschini, Luis A. Lastras-Montano, Livio B. Soares, Mark N. Wegman
  • Publication number: 20200050616
    Abstract: According to an aspect, searching, recommending, and exploring documents through conceptual associations includes a method for receiving a plurality of documents and extracting concepts from each of the documents. A degree of relation between each of the documents and concepts in a knowledge base is calculated. The method also includes, in response to receiving a query, determining one or more concepts from the query. For each of the concepts, a list of documents having a highest degree of relation to the concept is retrieved. The method also includes outputting a list that is responsive to the one or more retrieved lists.
    Type: Application
    Filed: October 17, 2019
    Publication date: February 13, 2020
    Inventors: Michele M. Franceschini, Luis A. Lastras-Montano, John T. Richards, Livio B. Soares, Mark N. Wegman
  • Patent number: 10503761
    Abstract: According to an aspect, searching, recommending, and exploring documents through conceptual associations includes receiving a plurality of documents and extracting concepts from each of the documents. A degree of relation between each of the documents and concepts in a knowledge base is calculated. An aspect also includes, in response to receiving a query, determining one or more concepts from the query. For each of the concepts, a list of documents having a highest degree of relation to the concept is retrieved. An aspect also includes outputting a list that is responsive to the one or more retrieved lists.
    Type: Grant
    Filed: July 14, 2014
    Date of Patent: December 10, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michele M. Franceschini, Luis A. Lastras-Montano, John T. Richards, Livio B. Soares, Mark N. Wegman
  • Patent number: 10503762
    Abstract: According to an aspect, searching, recommending, and exploring documents through conceptual associations includes a method for receiving a plurality of documents and extracting concepts from each of the documents. A degree of relation between each of the documents and concepts in a knowledge base is calculated. The method also includes, in response to receiving a query, determining one or more concepts from the query. For each of the concepts, a list of documents having a highest degree of relation to the concept is retrieved. The method also includes outputting a list that is responsive to the one or more retrieved lists.
    Type: Grant
    Filed: March 13, 2015
    Date of Patent: December 10, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michele M. Franceschini, Luis A. Lastras-Montano, John T. Richards, Livio B. Soares, Mark N. Wegman
  • Patent number: 10496683
    Abstract: According to an aspect, automatically linking text to concepts in a knowledge base using differential analysis includes receiving a text string and selecting, based on contents of the text string, a plurality of data sources that correspond to concepts in the knowledge base. In a further aspect, automatically linking the text to the concepts includes calculating, for each of the selected data sources, a probability that the text string is output by a language model built using the selected data source, calculating a probability that the text string is output by a generic language model, calculating link confidence scores for each concept based on a differential analysis of the probabilities, and creating a link from the text string to one of the concepts in the knowledge base. The creating is based on a link confidence score of the concept being more than a threshold value away from a prescribed threshold.
    Type: Grant
    Filed: November 8, 2018
    Date of Patent: December 3, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michele M. Franceschini, Luis A. Lastras-Montano, Livio B. Soares, Mark N. Wegman
  • Patent number: 10496684
    Abstract: According to an aspect, automatically linking text to concepts in a knowledge base using differential analysis includes receiving a text string and selecting, based on contents of the text string, a plurality of data sources that correspond to concepts in the knowledge base. In a further aspect, automatically linking the text to the concepts includes calculating, for each of the selected data sources, a probability that the text string is output by a language model built using the selected data source, calculating a probability that the text string is output by a generic language model, calculating link confidence scores for each concept based on a differential analysis of the probabilities, and creating a link from the text string to one of the concepts in the knowledge base. The creating is based on a link confidence score of the concept being more than a threshold value away from a prescribed threshold.
    Type: Grant
    Filed: November 8, 2018
    Date of Patent: December 3, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michele M. Franceschini, Luis A. Lastras-Montano, Livio B. Soares, Mark N. Wegman
  • Publication number: 20190354878
    Abstract: Mechanisms, in a system comprising a host system and at least one accelerator device, for performing a concept analysis operation are provided. The host system extracts a set of one or more concepts from an information source and provides the set of one or more concepts to the accelerator device. The host system also provides at least one matrix representation data structure representing a graph of concepts and relationships between concepts in a corpus. The accelerator device executes the concept analysis operation internal to the accelerator device to generate an output vector identifying concepts in the corpus, identified in the at least one matrix representation data structure, related to the set of one or more concepts extracted from the information source. The accelerator device outputs the output vector to the host system which utilizes the output vector to respond to a request submitted to the host system associated with the information source.
    Type: Application
    Filed: August 2, 2019
    Publication date: November 21, 2019
    Inventors: Emrah Acar, Rajesh R. Bordawekar, Michele M. Franceschini, Luis A. Lastras-Montano, Ruchir Puri, Haifeng Qian, Livio B. Soares
  • Patent number: 10452280
    Abstract: A method includes comparing a number of memory blocks in a first pool of free memory blocks in a memory to a threshold. The memory includes memory blocks that are logically divided into the first pool, a second pool, and a third pool of memory blocks. The first pool of free memory blocks is expanded based on determining that the number of memory blocks in the first pool of free memory blocks is less than the threshold. The expanding includes: selecting a first memory block from the second pool of memory blocks, the first memory block comprising active and non-active content; selecting a second memory block from the third pool of memory blocks; copying the active content of the first memory block to the second memory block; erasing the first memory block; and adding the first memory block to the first pool of free memory blocks.
    Type: Grant
    Filed: October 3, 2014
    Date of Patent: October 22, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michele M. Franceschini, Ken Inoue, Luis A Lastras-Montano
  • Patent number: 10437870
    Abstract: According to an aspect, automatically adding new concepts to a concept graph includes receiving a string of text, searching a corpus of data to locate additional text related to the string of text, and extracting concepts from the additional text. The extracted concepts include a subset of concepts in the concept graph. The adding new concepts also includes determining whether the string of text should be linked to an existing concept in the concept graph, performing the linking based on determining that the string of text should be linked to the existing concept in the concept graph and, based on determining that the string of text should not be linked to an existing concept in the concept graph, adding a new concept to the concept graph. The new concept is associated with the string of text.
    Type: Grant
    Filed: March 13, 2015
    Date of Patent: October 8, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michele M. Franceschini, Luis A. Lastras-Montano, Livio B. Soares, Mark N. Wegman
  • Patent number: 10437869
    Abstract: According to an aspect, automatically adding new concepts to a concept graph includes receiving a string of text, searching a corpus of data to locate additional text related to the string of text, and extracting concepts from the additional text. The extracted concepts include a subset of concepts in the concept graph. The adding new concepts also includes determining whether the string of text should be linked to an existing concept in the concept graph, performing the linking based on determining that the string of text should be linked to the existing concept in the concept graph and, based on determining that the string of text should not be linked to an existing concept in the concept graph, adding a new concept to the concept graph. The new concept is associated with the string of text.
    Type: Grant
    Filed: July 14, 2014
    Date of Patent: October 8, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michele M. Franceschini, Luis A. Lastras-Montano, Livio B. Soares, Mark N. Wegman
  • Publication number: 20190287026
    Abstract: An example operation may include one or more of partitioning a data set from a data provider into a training data set and a test data set, exposing the training data set to a learning service provider while preventing the learning service provider from being able to access the test data set, wherein the preventing comprises encrypting the test data set and storing the encrypted test data set in an immutable ledger, receiving a learning model that is generated by the learning service provider based on the exposed training data set, executing the received learning model using the test data set as input to verify whether the learning model satisfies a predefined performance threshold, and in response to verifying the learning model satisfies the predefined performance threshold, outputting information about the verification to a computing node.
    Type: Application
    Filed: March 14, 2018
    Publication date: September 19, 2019
    Inventors: Flavio du Pin Calmon, Michele M. Franceschini, Ashish Jagmohan, Sambit Sahu
  • Publication number: 20190287027
    Abstract: An example operation may include one or more of generating a hashed summary including hashes of one or more of a validation data set and hashes of data points chosen in previous iterations from producer nodes, and exposing the hashed summary to a plurality of producer nodes, receiving, iteratively, a plurality of requests from the plurality of producer nodes, respectively, where each request identifies a marginal value provided by a hash of a data sample available to a producer node, selecting a request received from a producer node based on a marginal value associated with the request, retrieving hashed data of the producer node associated with the selected request, and aggregating the hashed data of the producer node with the summary of hashes generated at one or more previous iterations to produce an updated summary, and storing the updated summary via a data block of a distributed ledger.
    Type: Application
    Filed: March 15, 2018
    Publication date: September 19, 2019
    Inventors: Michele M. Franceschini, Ashish Jagmohan, Kanthi Sarpatwar, Karthikeyan SHANMUGAM, Roman Vaculin
  • Publication number: 20190266167
    Abstract: A method and apparatus are provided for recommending concepts from a first concept set in response to user selection of a first concept Ci by performing a natural language processing (NLP) analysis comparison of vector representations of user concepts contained in written content authored by the user and candidate concepts in a first concept set to determine a similarity measure for each candidate concept, and to select therefrom one or more of the candidate concepts for display as recommended concepts which are related to the user concepts contained in written content authored by the user based on the similarity measure between each candidate concept and each user concept.
    Type: Application
    Filed: May 8, 2019
    Publication date: August 29, 2019
    Inventors: Michele M. Franceschini, Tin Kam Ho, Luis A. Lastras-Montano, Oded Shmueli, Livio Soares
  • Patent number: 10394829
    Abstract: A method and apparatus are provided for recommending concepts from a first concept set in response to user selection of a first concept Ci by performing a natural language processing (NLP) analysis comparison of vector representations of user concepts contained in written content authored by the user and candidate concepts in a first concept set to determine a similarity measure for each candidate concept, and to select therefrom one or more of the candidate concepts for display as recommended concepts which are related to the user concepts contained in written content authored by the user based on the similarity measure between each candidate concept and each user concept.
    Type: Grant
    Filed: December 8, 2015
    Date of Patent: August 27, 2019
    Assignee: International Business Machines Corporation
    Inventors: Michele M. Franceschini, Tin Kam Ho, Luis A. Lastras-Montano, Oded Shmueli, Livio Soares
  • Patent number: 10387209
    Abstract: A system and method dynamically provisions resources in a virtual environment. A current resource requirement is determined based on a current workload demand using one or more computer systems providing resources and access to the resources. The method and system includes comparing the current resource requirement with a current resource allocation using an engine communicating with resources. The engine is configured to allocate the resources, and the engine determines the resource requirement responsive to communications with a plurality of library instances. The library exposes a single-node interface for use by a user-application. The current resource allocation is modified based on the comparison of the current resource requirement with the current resource allocation, and in response to the current resource requirement, using the engine.
    Type: Grant
    Filed: September 28, 2015
    Date of Patent: August 20, 2019
    Assignee: International Business Machines Corporation
    Inventors: John A. Bivens, Michele M. Franceschini, Ashish Jagmohan, Valentina Salapura
  • Patent number: 10373057
    Abstract: Mechanisms, in a system comprising a host system and at least one accelerator device, for performing a concept analysis operation are provided. The host system extracts a set of one or more concepts from an information source and provides the set of one or more concepts to the accelerator device. The host system also provides at least one matrix representation data structure representing a graph of concepts and relationships between concepts in a corpus. The accelerator device executes the concept analysis operation internal to the accelerator device to generate an output vector identifying concepts in the corpus, identified in the at least one matrix representation data structure, related to the set of one or more concepts extracted from the information source. The accelerator device outputs the output vector to the host system which utilizes the output vector to respond to a request submitted to the host system associated with the information source.
    Type: Grant
    Filed: April 9, 2015
    Date of Patent: August 6, 2019
    Assignee: International Business Machines Corporation
    Inventors: Emrah Acar, Rajesh R. Bordawekar, Michele M. Franceschini, Luis A. Lastras-Montano, Ruchir Puri, Haifeng Qian, Livio B. Soares
  • Patent number: 10310812
    Abstract: Mechanisms are provided for performing a matrix operation. A processor of a data processing system is configured to perform cluster-based matrix reordering of an input matrix. An input matrix, which comprises nodes associated with elements of the matrix, is received. The nodes are clustered into clusters based on numbers of connections with other nodes within and between the clusters, and the clusters are ordered by minimizing a total length of cross cluster connections between nodes of the clusters, to thereby generate a reordered matrix. A lookup table is generated identifying new locations of nodes of the input matrix, in the reordered matrix. A matrix operation is then performed based on the reordered matrix and the lookup table.
    Type: Grant
    Filed: February 6, 2017
    Date of Patent: June 4, 2019
    Assignee: International Business Machines Corporation
    Inventors: Emrah Acar, Rajesh R. Bordawekar, Michele M. Franceschini, Luis A. Lastras-Montano, Ruchir Puri, Haifeng Qian, Livio B. Soares
  • Publication number: 20190073414
    Abstract: According to an aspect, automatically linking text to concepts in a knowledge base using differential analysis includes receiving a text string and selecting, based on contents of the text string, a plurality of data sources that correspond to concepts in the knowledge base. In a further aspect, automatically linking the text to the concepts includes calculating, for each of the selected data sources, a probability that the text string is output by a language model built using the selected data source, calculating a probability that the text string is output by a generic language model, calculating link confidence scores for each concept based on a differential analysis of the probabilities, and creating a link from the text string to one of the concepts in the knowledge base. The creating is based on a link confidence score of the concept being more than a threshold value away from a prescribed threshold.
    Type: Application
    Filed: November 8, 2018
    Publication date: March 7, 2019
    Inventors: Michele M. Franceschini, Luis A. Lastras-Montano, Livio B. Soares, Mark N. Wegman
  • Publication number: 20190073415
    Abstract: According to an aspect, automatically linking text to concepts in a knowledge base using differential analysis includes receiving a text string and selecting, based on contents of the text string, a plurality of data sources that correspond to concepts in the knowledge base. In a further aspect, automatically linking the text to the concepts includes calculating, for each of the selected data sources, a probability that the text string is output by a language model built using the selected data source, calculating a probability that the text string is output by a generic language model, calculating link confidence scores for each concept based on a differential analysis of the probabilities, and creating a link from the text string to one of the concepts in the knowledge base. The creating is based on a link confidence score of the concept being more than a threshold value away from a prescribed threshold.
    Type: Application
    Filed: November 8, 2018
    Publication date: March 7, 2019
    Inventors: Michele M. Franceschini, Luis A. Lastras-Montano, Livio B. Soares, Mark N. Wegman
  • Patent number: 10162882
    Abstract: According to an aspect, automatically linking text to concepts in a knowledge base using differential analysis includes receiving a text string and selecting, based on contents of the text string, a plurality of data sources that correspond to concepts in the knowledge base. In a further aspect, automatically linking the text to the concepts includes calculating, for each of the selected data sources, a probability that the text string is output by a language model built using the selected data source, calculating a probability that the text string is output by a generic language model, calculating link confidence scores for each concept based on a differential analysis of the probabilities, and creating a link from the text string to one of the concepts in the knowledge base. The creating is based on a link confidence score of the concept being more than a threshold value away from a prescribed threshold.
    Type: Grant
    Filed: July 14, 2014
    Date of Patent: December 25, 2018
    Assignee: NTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michele M. Franceschini, Luis A. Lastras-Montano, Livio B. Soares, Mark N. Wegman