Patents by Inventor L. Venkata Subramaniam

L. Venkata Subramaniam 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: 12189669
    Abstract: Methods, systems, and computer program products for extracting query-related temporal information from unstructured text documents are provided herein. A computer-implemented method includes obtaining at least one user query comprising one or more temporal components; converting at least a portion of the at least one user query into one or more logic form representations; mapping at least a portion of the one or more logic form representations to one or more portions of at least one source of unstructured text data; extracting temporal information, specific to the at least one user query, from one or more portions of the at least one source of unstructured text data based on the mapping; generating at least one response to the at least one user query based on the extracted temporal information; and performing one or more automated actions based on the at least one generated response.
    Type: Grant
    Filed: December 6, 2021
    Date of Patent: January 7, 2025
    Assignee: International Business Machines Corporation
    Inventors: Udit Sharma, Hima Prasad Karanam, Shajith Ikbal Mohamed, Sumit Neelam, Santosh Srivastava, L. Venkata Subramaniam
  • Publication number: 20240354512
    Abstract: Systems and techniques that facilitate question answering via tailored knowledge induction are provided. In various embodiments, a system can access a natural language question. In various aspects, the system can identify an answer for the natural language question, based on a tailored knowledge graph iteratively generated from a set of structured sub-queries associated with the natural language question.
    Type: Application
    Filed: April 21, 2023
    Publication date: October 24, 2024
    Inventors: Hima Prasad Karanam, Shajith Ikbal Mohamed, Udit Sharma, Sumit Neelam, L. Venkata Subramaniam
  • Publication number: 20240338581
    Abstract: A method implemented by a system for performing forward chaining using a property graph, the method includes generating, from an ontology, a simplified ontology that includes a set of sub-conditions connected through logical operators that are equivalent to the ontology. A state graph is created based on the simplified ontology. When a first assertion axiom (ABox) statement associated with the ontology is received, the first ABox statement is added to an instance graph based on the state graph. Inferred statements, if any, are derived based on connections between the instance graph and the state graph. The inferred statements are then stored with the first ABox statement. The state graph and the first ABox statement are stored in the property graph.
    Type: Application
    Filed: April 5, 2023
    Publication date: October 10, 2024
    Inventors: Sumit Neelam, Hima Prasad Karanam, Udit Sharma, Shajith Ikbal Mohamed, L. Venkata Subramaniam
  • Patent number: 12001794
    Abstract: Methods, systems, and computer program products for zero-shot entity linking based on symbolic information are provided herein. A computer-implemented method includes obtaining a knowledge graph comprising a set of entities and a training dataset comprising text samples for at least a subset of the entities in the knowledge graph; training a machine learning model to map an entity mention substring of a given sample of text to one corresponding entity in the set of entities, wherein the machine learning model is trained using a multi-task machine learning framework using symbolic information extracted from the knowledge graph; and mapping an entity mention substring of a new sample of text to one of the entities in the set using the trained machine learning model.
    Type: Grant
    Filed: January 14, 2022
    Date of Patent: June 4, 2024
    Assignee: International Business Machines Corporation
    Inventors: Dinesh Khandelwal, G P Shrivatsa Bhargav, Saswati Dana, Dinesh Garg, Pavan Kapanipathi Bangalore, Salim Roukos, Alexander Gray, L. Venkata Subramaniam
  • Patent number: 11977580
    Abstract: Methods, systems, and computer program products for partitioning and parallel loading of property graphs with constraints are provided herein. A computer-implemented method includes obtaining graph-related input data and corresponding constraint data, wherein the graph-related input data and corresponding constraint data are at least one of user-defined and input data model-based; generating at least one in-memory graph based at least in part on processing at least a portion of the obtained graph-related input data; partitioning the at least one in-memory graph into two or more sub-graphs by processing the at least one in-memory graph using one or more polynomial time partition algorithms; and generating at least one property graph by allocating, at least a portion of the two or more partitioned sub-graphs which satisfy the obtained constraint data, to two or more threads that run in parallel.
    Type: Grant
    Filed: November 30, 2021
    Date of Patent: May 7, 2024
    Assignee: International Business Machines Corporation
    Inventors: Sumit Neelam, Hima Prasad Karanam, Udit Sharma, Shajith Ikbal Mohamed, Santosh Srivastava, L. Venkata Subramaniam
  • Publication number: 20230229859
    Abstract: Methods, systems, and computer program products for zero-shot entity linking based on symbolic information are provided herein. A computer-implemented method includes obtaining a knowledge graph comprising a set of entities and a training dataset comprising text samples for at least a subset of the entities in the knowledge graph; training a machine learning model to map an entity mention substring of a given sample of text to one corresponding entity in the set of entities, wherein the machine learning model is trained using a multi-task machine learning framework using symbolic information extracted from the knowledge graph; and mapping an entity mention substring of a new sample of text to one of the entities in the set using the trained machine learning model.
    Type: Application
    Filed: January 14, 2022
    Publication date: July 20, 2023
    Inventors: Dinesh Khandelwal, G P Shrivatsa Bhargav, Saswati Dana, Dinesh Garg, Pavan Kapanipathi Bangalore, Salim Roukos, Alexander Gray, L. Venkata Subramaniam
  • Publication number: 20230177076
    Abstract: Methods, systems, and computer program products for extracting query-related temporal information from unstructured text documents are provided herein. A computer-implemented method includes obtaining at least one user query comprising one or more temporal components; converting at least a portion of the at least one user query into one or more logic form representations; mapping at least a portion of the one or more logic form representations to one or more portions of at least one source of unstructured text data; extracting temporal information, specific to the at least one user query, from one or more portions of the at least one source of unstructured text data based on the mapping; generating at least one response to the at least one user query based on the extracted temporal information; and performing one or more automated actions based on the at least one generated response.
    Type: Application
    Filed: December 6, 2021
    Publication date: June 8, 2023
    Inventors: Udit Sharma, Hima Prasad Karanam, Shajith Ikbal Mohamed, Sumit Neelam, Santosh Srivastava, L. Venkata Subramaniam
  • Publication number: 20230169115
    Abstract: Methods, systems, and computer program products for partitioning and parallel loading of property graphs with constraints are provided herein. A computer-implemented method includes obtaining graph-related input data and corresponding constraint data, wherein the graph-related input data and corresponding constraint data are at least one of user-defined and input data model-based; generating at least one in-memory graph based at least in part on processing at least a portion of the obtained graph-related input data; partitioning the at least one in-memory graph into two or more sub-graphs by processing the at least one in-memory graph using one or more polynomial time partition algorithms; and generating at least one property graph by allocating, at least a portion of the two or more partitioned sub-graphs which satisfy the obtained constraint data, to two or more threads that run in parallel.
    Type: Application
    Filed: November 30, 2021
    Publication date: June 1, 2023
    Inventors: Sumit Neelam, Hima Prasad Karanam, Udit Sharma, Shajith Ikbal Mohamed, Santosh Srivastava, L. Venkata Subramaniam
  • Publication number: 20220405608
    Abstract: In a method for deriving existential rules from knowledge graph data, a processor represents a knowledge graph using a geometric embedding. A processor transforms the geometric embedding to a syllogism logic representation using a geometric relationship. And a processor derives existential rules using standard transformation rules present in the syllogism logic representation.
    Type: Application
    Filed: June 17, 2021
    Publication date: December 22, 2022
    Inventors: Ankita Likhyani Grover, Shajith Ikbal Mohamed, Hima Prasad Karanam, L. Venkata Subramaniam
  • Patent number: 11501115
    Abstract: Methods, systems, and computer program products for explaining cross domain model predictions are provided herein. A computer-implemented method includes providing a test data point to a domain adaptation model to obtain a prediction, wherein the domain adaptation model is trained on a set of labeled data points and a set of unlabeled data points. The method includes generating a task specific explanation for the prediction that includes one or more data points from among the sets that satisfy a threshold score for influencing the prediction. Additionally, the method includes generating a domain invariant explanation for the prediction. The domain variation explanation is generated by ranking pairs of data points based on a statistical similarity to the test data point, wherein each pair includes a data point from the set of labeled data points and a data point from the set of unlabeled data points.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: November 15, 2022
    Assignee: International Business Machines Corporation
    Inventors: Saswati Dana, Dinesh Garg, Saneem Chemmengath, Sreyash Kenkre, L. Venkata Subramaniam
  • Patent number: 11443213
    Abstract: Methods, systems and computer program products for query processing are provided herein. A computer-implemented method includes receiving a first query from a user, determining whether the first query is capable of being answered using symbolic reasoning performed on data of a symbolic knowledge base, and executing the symbolic reasoning to generate a first query answer in response to a determination that the first query is capable of being answered using the symbolic reasoning. Axioms are extracted from a plurality of documents when it is determined that a second query is not capable of being answered using the symbolic reasoning. The method further includes determining whether the axioms are consistent with the symbolic knowledge base, and generating a second query answer based on the axioms in response to a determination that the one or more axioms are consistent with the symbolic knowledge base.
    Type: Grant
    Filed: August 30, 2018
    Date of Patent: September 13, 2022
    Assignee: International Business Machines Corporation
    Inventors: Hima Prasad Karanam, Shajith Ikbal Mohamed, Sumit Bhatia, Sumit Neelam, L. Venkata Subramaniam, Udit Sharma
  • Publication number: 20210256319
    Abstract: Methods, systems, and computer program products for explaining cross domain model predictions are provided herein. A computer-implemented method includes providing a test data point to a domain adaptation model to obtain a prediction, wherein the domain adaptation model is trained on a set of labeled data points and a set of unlabeled data points. The method includes generating a task specific explanation for the prediction that includes one or more data points from among the sets that satisfy a threshold score for influencing the prediction. Additionally, the method includes generating a domain invariant explanation for the prediction. The domain variation explanation is generated by ranking pairs of data points based on a statistical similarity to the test data point, wherein each pair includes a data point from the set of labeled data points and a data point from the set of unlabeled data points.
    Type: Application
    Filed: February 14, 2020
    Publication date: August 19, 2021
    Inventors: Saswati Dana, Dinesh Garg, Saneem Chemmengath, Sreyash Kenkre, L. Venkata Subramaniam
  • Patent number: 10614140
    Abstract: One embodiment provides a method, including utilizing at least one processor to execute computer code that performs the steps of: receiving, from a user, one or more keywords, wherein the one or more keywords identify, within a social media data set, a subset of social media data; determining, based on social media statistical information, an estimated volume of the subset of the social media data; determining, based on the social media statistical information, an estimated relevance of the subset of social media data to the user; and updating the one or more keywords, to improve the estimated volume and estimated relevance. Other aspects are described and claimed.
    Type: Grant
    Filed: June 1, 2016
    Date of Patent: April 7, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Vijay Ekambaram, Vikas Joshi, Hima Prasad Karanam, L. Venkata Subramaniam
  • Publication number: 20200074334
    Abstract: Methods, systems and computer program products for query processing are provided herein. A computer-implemented method includes receiving a first query from a user, determining whether the first query is capable of being answered using symbolic reasoning performed on data of a symbolic knowledge base, and executing the symbolic reasoning to generate a first query answer in response to a determination that the first query is capable of being answered using the symbolic reasoning. Axioms are extracted from a plurality of documents when it is determined that a second query is not capable of being answered using the symbolic reasoning. The method further includes determining whether the axioms are consistent with the symbolic knowledge base, and generating a second query answer based on the axioms in response to a determination that the one or more axioms are consistent with the symbolic knowledge base.
    Type: Application
    Filed: August 30, 2018
    Publication date: March 5, 2020
    Inventors: Hima Prasad Karanam, Shajith Ikbal Mohamed, Sumit Bhatia, Sumit Neelam, L. Venkata Subramaniam, Udit Sharma
  • Patent number: 10163063
    Abstract: Computer program products and systems are provided for mining for sub-patterns within a text data set. The embodiments facilitate finding a set of N frequently occurring sub-patterns within the data set, extracting the N sub-patterns from the data set, and clustering the extracted sub-patterns into K groups, where each extracted sub-pattern is placed within the same group with other extracted sub-patterns based upon a distance value D that determines a degree of similarity between the sub-pattern and every other sub-pattern within the same group.
    Type: Grant
    Filed: March 7, 2012
    Date of Patent: December 25, 2018
    Assignee: International Business Machines Corporation
    Inventors: Snigdha Chaturvedi, Tanveer A Faruquie, Hima P. Karanam, Marvin Mendelssohn, Mukesh K. Mohania, L. Venkata Subramaniam
  • Patent number: 10120916
    Abstract: The present invention relates to data cleansing, and in particular performing the semantic standardization process within a database before the transform portion of the extract-transform-load (ETL) process. Provided are a method, system and computer program product for standardizing data within a database engine, configuring the standardization function to determine at least one standardized value for at least one data value by applying the standardization table in a context of at least one data value, receiving a database query identifying the standardization function, at least one database value and the context of the data, and invoking the standardization function.
    Type: Grant
    Filed: June 11, 2012
    Date of Patent: November 6, 2018
    Assignee: International Business Machines Corporation
    Inventors: Tanveer A. Faruquie, Mukesh K. Mohania, L. Venkata Subramaniam, Charles D. Wolfson
  • Patent number: 10095780
    Abstract: Computer program products and systems are provided for mining for sub-patterns within a text data set. The embodiments facilitate finding a set of N frequently occurring sub-patterns within the data set, extracting the N sub-patterns from the data set, and clustering the extracted sub-patterns into K groups, where each extracted sub-pattern is placed within the same group with other extracted sub-patterns based upon a distance value D that determines a degree of similarity between the sub-pattern and every other sub-pattern within the same group.
    Type: Grant
    Filed: February 7, 2017
    Date of Patent: October 9, 2018
    Assignee: International Business Machines Corporation
    Inventors: Snigdha Chaturvedi, Tanveer A. Faruquie, Hima P. Karanam, Marvin Mendelssohn, Mukesh K. Mohania, L. Venkata Subramaniam
  • Patent number: 9910921
    Abstract: Methods and arrangements for keyword refinement and enhancement. There is received an initial keyword list comprising one or more keywords. Information is harvested from one or more information feeds, and an item is ascertained from the harvested information. One or more keywords from the initial keyword list are associated with the item. One or more new keywords are developed based on the associating of one or more keywords from the initial keyword list with the item. Other variants and embodiments are broadly contemplated herein.
    Type: Grant
    Filed: February 28, 2013
    Date of Patent: March 6, 2018
    Assignee: International Business Machines Corporation
    Inventors: Raguhuram Krishnapuram, Sameep Mehta, Chawda Bhupesh Shyamsundar, L Venkata Subramaniam
  • Publication number: 20170351763
    Abstract: One embodiment provides a method, including utilizing at least one processor to execute computer code that performs the steps of: receiving, from a user, one or more keywords, wherein the one or more keywords identify, within a social media data set, a subset of social media data; determining, based on social media statistical information, an estimated volume of the subset of the social media data; determining, based on the social media statistical information, an estimated relevance of the subset of social media data to the user; and updating the one or more keywords, to improve the estimated volume and estimated relevance. Other aspects are described and claimed.
    Type: Application
    Filed: June 1, 2016
    Publication date: December 7, 2017
    Inventors: Vijay Ekambaram, Vikas Joshi, Hima Prasad Karanam, L. Venkata Subramaniam
  • Patent number: 9760655
    Abstract: Systems and methods for identifying entities sharing a temporal pattern using bipartite graphs are described. In one embodiment, a method includes identifying a temporal pattern in a sequence of bipartite graphs for a sequence of records involving two entity types, where records of the sequence of bipartite graphs vary according to time. An embodiment may color code the edges between entity types in the sequence of bipartite graphs according to the at least one temporal pattern identified (e.g., increasing sales between a business representative and a customer). An embodiment may therefore identify a time-based relationship between at least two entities according to the coded edges. Given the identification of entities having a time-based relationships, groups of these entities may be identified and trends may be derived therefrom (e.g., increasing sales for business units of a particular geographic region).
    Type: Grant
    Filed: September 3, 2013
    Date of Patent: September 12, 2017
    Assignee: International Business Machines Corporation
    Inventors: Manoj Kumar Agarwal, Sumit Negi, L. Venkata Subramaniam, Oliver Markus Vogel