Patents by Inventor Abha Moitra

Abha Moitra 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: 20190108452
    Abstract: A method for knowledge management using concept rules includes receiving event data corresponding to an industrial application and generating at least one inference concept based on the event data. The method also includes obtaining a semantic model having a plurality of inference concepts, a plurality of relationships among the plurality of inference concepts, and a plurality of concept rules representative of domain knowledge. The plurality of concept rules is authored using the plurality of inference concepts and the plurality of relationships. Furthermore, the method includes processing the at least one inference concept based on the semantic model to generate inferential data. The inferential data is representative of an inference corresponding to the event data. In addition, the method includes controlling the industrial application based on the inferential data.
    Type: Application
    Filed: October 6, 2017
    Publication date: April 11, 2019
    Inventors: Abha Moitra, Andrew Walter Crapo, Marc Thomas Edgar, Ravi Kiran Reddy Palla
  • Patent number: 10235421
    Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyzes on such extracted content and present graphical representations of such analyzes on a display of a client device.
    Type: Grant
    Filed: January 16, 2014
    Date of Patent: March 19, 2019
    Assignee: Lockheed Martin Corporation
    Inventors: Abha Moitra, David Brian Bracewell, Steven Matt Gustafson, T. Michael Baylor, Tina H. Chau
  • Patent number: 10101752
    Abstract: A hydrocarbon extractor (HE) evaluator system includes a central controller and an HE evaluator model that includes a hierarchical equipment model of heterogeneous HE type, subtype, and property, a plurality of rules arrangeable as a hierarchical equipment rule set, and as a hierarchical well feature rule set, a rules engine, the hierarchical well feature rule set formatted for a multi-factor comparison by the rules engine between heterogeneous HE types from disparate sources applied to the hierarchical equipment model. The rules engine configured to apply rules using class structure and one or more categories to an extracted portion of the hierarchical equipment model to generate results displayable to a user for determination of an HE type suitable for a particular well. A method for evaluating HE types and a non-transitory computer-readable medium containing instructions for a processor to perform the method are also disclosed.
    Type: Grant
    Filed: August 31, 2016
    Date of Patent: October 16, 2018
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Adam Rasheed, Abha Moitra, Aisha Yousuf, Jinfeng Zhang
  • Patent number: 10078664
    Abstract: A system and method for searching for and finding data across industrial time-series data is disclosed. A computer system receives a search query from a client system. The computer system accesses a database including a plurality of stored time-series data sets. For each stored time-series data set, the computer system determines whether the stored time-series data set includes one or more sections that match the received search query. In accordance with a determination that two or more of stored time-series data sets include at least one section that matches the received search query, the computer system determines whether the matching sections in each stored time-series data set have overlapping time periods. In accordance with a determination that the matching sections in each time-series data set have overlapping time periods, the computer system identifies a particular event that occurred during the overlapping time periods.
    Type: Grant
    Filed: June 8, 2015
    Date of Patent: September 18, 2018
    Inventors: Steven Matt Gustafson, Abha Moitra, Kareem Sherif Aggour, Luis Babaji Ng Tari, Aisha Yousuf
  • Publication number: 20170351272
    Abstract: A hydrocarbon extractor (HE) evaluator system includes a central controller and an HE evaluator model that includes a hierarchical equipment model of heterogeneous HE type, subtype, and property, a plurality of rules arrangeable as a hierarchical equipment rule set, and as a hierarchical well feature rule set, a rules engine, the hierarchical well feature rule set formatted for a multi-factor comparison by the rules engine between heterogeneous HE types from disparate sources applied to the hierarchical equipment model. The rules engine configured to apply rules using class structure and one or more categories to an extracted portion of the hierarchical equipment model to generate results displayable to a user for determination of an HE type suitable for a particular well. A method for evaluating HE types and a non-transitory computer-readable medium containing instructions for a processor to perform the method are also disclosed.
    Type: Application
    Filed: August 31, 2016
    Publication date: December 7, 2017
    Inventors: Adam RASHEED, Abha MOITRA, Aisha YOUSUF, Jinfeng ZHANG
  • Publication number: 20170011301
    Abstract: In various example embodiments, a semantic modeling server includes a semantic model and an inductive logic programming module. The semantic module includes underlying data that defines one or more characteristics of a part to be manufactured. The inductive logic programming module is provided with positive and negative examples of a feature to be identified and part data that defines the part to be manufactured. Given the examples of the feature and the semantic model, the inductive logic programming module determines various rules that can be used to identify whether the provided part data includes the feature defined by the semantic model. Using the determined rules the inductive logic programming module then identifies instances of the feature associated with the semantic model within the provided part data. The inductive logic programming can then be iteratively executed with the semantic model to refine the determined rules.
    Type: Application
    Filed: July 9, 2015
    Publication date: January 12, 2017
    Inventors: Abha Moitra, Arvind Rangarajan, Ravi Kiran Reddy Palla
  • Publication number: 20160224543
    Abstract: A system for extracting ontological information from a body of text includes an input module configured to receive a verb phrase. The system also includes a parsing module configured to parse one or more sentences from the body of text into parse tree format to generate a set of parsed sentences. The system further includes a named-entity-recognition module configured to identify a subset of parsed sentences from the set of parsed sentences, identify a subset of noun phrases from the subset of parsed sentences, classify a first noun phrase in subset of noun phrases as an entity, and classify a second noun phrase in subset of noun phrases as a property. The system also includes a concept-extraction module configured to identify and output a conceptual relationship between the first entity and the first property based at least partially on grammatical relationship of the first entity and the first property.
    Type: Application
    Filed: January 22, 2016
    Publication date: August 4, 2016
    Inventors: Luis Babaji Ng Tari, Abha Moitra
  • Publication number: 20160162543
    Abstract: A system and method for searching for and finding data across industrial time-series data is disclosed. A computer system receives a search query from a client system. The computer system accesses a database including a plurality of stored time-series data sets. For each stored time-series data set, the computer system determines whether the stored time-series data set includes one or more sections that match the received search query. In accordance with a determination that two or more of stored time-series data sets include at least one section that matches the received search query, the computer system determines whether the matching sections in each stored time-series data set have overlapping time periods. In accordance with a determination that the matching sections in each time-series data set have overlapping time periods, the computer system identifies a particular event that occurred during the overlapping time periods.
    Type: Application
    Filed: June 8, 2015
    Publication date: June 9, 2016
    Inventors: Steven Matt Gustafson, Abha Moitra, Kareem Sherif Aggour, Luis Babaji Ng Tari, Aisha Yousuf
  • Patent number: 9348934
    Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyzes on such extracted content and present graphical representations of such analyzes on a display of a client device.
    Type: Grant
    Filed: November 25, 2014
    Date of Patent: May 24, 2016
    Assignee: Lockheed Martin Corporation
    Inventors: Abha Moitra, David Brian Bracewell, Steven Matt Gustafson, T. Michael Baylor, Tina H. Chau
  • Publication number: 20160110478
    Abstract: Embodiments allow blocking and featurization of time-series data gathered from at least one sensor. The input time-series data is divided into blocks with common attributes (features) according to feature models that describe patterns in the data. The blocks may be overlapping or non-overlapping. The resultant feature blocks are annotated with feature information and semantic meaning. The feature blocks can be indexed to facilitate semantic search of the data. Feature blocks may be further analyzed to create semantic blocks that incorporate semantic meaning and features for multiple feature blocks, sensors and/or related time-series data. The semantic blocks can also be indexed to facilitate semantic search of the data.
    Type: Application
    Filed: October 17, 2014
    Publication date: April 21, 2016
    Inventors: Kareem Sherif Aggour, Andrew Walter Crapo, Abha Moitra, Steven Matt Gustafson
  • Publication number: 20160098033
    Abstract: A dataset including boundary representations of shapes associated with an item being designed for manufacture is accessed by a semantic processing module. A semantic graph of each of the boundary representations of shapes is generated and a numerical processing module computes geometric attributes of each of the shapes. The semantic graph of a shape is updated based on any geometric attributes computed for the shape. The semantic graphs are then compared to a repository of semantic graphs of manufacturing features to identify instances of manufacturing features. Geometric attributes associated with each instance of a manufacturing feature are then computed. For each instance, the associated geometric attributes are compared against a repository of semantic manufacturing rules to determine whether the instance is in compliance with the rules. A user designing the item is alerted to the presence of any instances of manufacturing features that are not in compliance with the rules.
    Type: Application
    Filed: October 6, 2014
    Publication date: April 7, 2016
    Inventors: Baljit Singh, Abha Moitra, Michael Evans Graham, Dean Michael Robinson, Tao Jia
  • Patent number: 9244909
    Abstract: A system for extracting ontological information from a body of text is disclosed. The system parses one or more sentences from the body of text into parse tree format to generate a set of parsed sentences. The system further performs named-entity-recognition by identifying a subset of parsed sentences from the set of parsed sentences. A subset of noun phrases from the subset of parsed sentences are identified and the noun phrases are examined to classify the noun phrases as an entity or as a property. The system also identifies and outputs a conceptual relationship between the entity and the property based at least partially on grammatical relationship of the entity and the property.
    Type: Grant
    Filed: December 10, 2012
    Date of Patent: January 26, 2016
    Assignee: General Electric Company
    Inventors: Luis Babaji Ng Tari, Abha Moitra
  • Publication number: 20160019192
    Abstract: According to some embodiments, a document associated with an artifact may be received, the document being at least partially unstructured. In an unstructured portion of the document, an extraction platform may automatically detect a first characteristic. The extraction platform may also automatically detect a second characteristic in the unstructured portion of the document. Using the first and second characteristics, a structured semantic model representing the artifact may automatically be created.
    Type: Application
    Filed: July 21, 2014
    Publication date: January 21, 2016
    Inventors: Andrew Walter Crapo, Abha Moitra
  • Patent number: 9230030
    Abstract: One website mining embodiment is for characterizing first time users of a website, collecting user session data of the users visiting the website and identifying first time visitors, determining features of the first time visitors utilizing the user session data, determining rules utilizing the features of the first time visitors, monitoring actions of the first time visitors on the website, updating the rules utilizing the monitored actions of the first time visitors and recommending web content utilizing the rules to the first time visitor.
    Type: Grant
    Filed: December 22, 2008
    Date of Patent: January 5, 2016
    Assignee: NBCUNIVERSAL MEDIA, LLC
    Inventors: Feng Xue, Abha Moitra, Steven Matt Gustafson
  • Patent number: 9071857
    Abstract: A method for recommending videos is presented. The method includes generating a cross-usage matrix based upon a data of video sessions for a plurality of videos, generating a temporal matrix based upon release dates of the plurality of videos, generating a cross-temporal matrix based upon the cross-usage matrix and the temporal matrix, computing a global video rank corresponding to each of the plurality of videos based upon the cross-temporal matrix, generating a similarity score corresponding to each pair of videos in the plurality of videos based upon meta-data of the plurality of videos, and generating a local video rank corresponding to each of the plurality of videos relative to another video in the plurality of videos based upon the generated cross-usage matrix, the computed global video rank and the generated similarity score.
    Type: Grant
    Filed: January 17, 2013
    Date of Patent: June 30, 2015
    Assignee: NBCUniversal Media, LLC
    Inventors: Ya Xue, Abha Moitra, Steven Matt Gustafson
  • Publication number: 20150121265
    Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyses on such extracted content and present graphical representations of such analyses on a display of a client device.
    Type: Application
    Filed: November 25, 2014
    Publication date: April 30, 2015
    Inventors: Abha Moitra, David Brian Bracewell, Steven Matt Gustafson, T. Michael Baylor, Tina H. Chau
  • Patent number: 8935197
    Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyzes on such extracted content and present graphical representations of such analyzes on a display of a client device.
    Type: Grant
    Filed: November 26, 2013
    Date of Patent: January 13, 2015
    Assignee: Lockheed Martin Corporation
    Inventors: Abha Moitra, David Brian Bracewell, Steven Matt Gustafson, T. Michael Baylor, Tina H. Chau
  • Publication number: 20140324908
    Abstract: The present disclosure relates to the use of both semantic analysis and statistical text mining to process data records, improving the completeness and accuracy of records so processed. By way of example, a data record may be iteratively processed by text mining using seeds derived from a semantic template and by validating the results based on semantic reasoning based on the semantic template.
    Type: Application
    Filed: April 29, 2013
    Publication date: October 30, 2014
    Applicant: GENERAL ELECTRIC COMPANY
    Inventors: Michael Evans Graham, Andrew Walter Crapo, Abha Moitra, Gerald Bowden Wise, Steven Matt Gustafson, Victor Manuel Perez-Zarate, Luis Babaji Ng Tari
  • Publication number: 20140181125
    Abstract: Systems and methods (e.g., utilities) for use in providing automated, lightweight collection of online, open source data which may be content-based to reduce website source bias. In one aspect, a utility is disclosed for use in extracting content of interest from at least one website or other online data source (e.g., where the extracted content can be used in a subsequent search query). In other aspects, utilities are disclosed that are operable to perform various types of analyses on such extracted content and present graphical representations of such analyses on a display of a client device.
    Type: Application
    Filed: January 16, 2014
    Publication date: June 26, 2014
    Applicant: LOCKHEED MARTIN CORPORATION
    Inventors: Abha Moitra, David Brian Bracewell, Steven Matt Gustafson, T. Michael Baylor, Tina H. Chau
  • Publication number: 20140163955
    Abstract: A system for extracting ontological information from a body of text includes an input module configured to receive a verb phrase. The system also includes a parsing module configured to parse one or more sentences from the body of text into parse tree format to generate a set of parsed sentences. The system further includes a named-entity-recognition module configured to identify a subset of parsed sentences from the set of parsed sentences, identify a subset of noun phrases from the subset of parsed sentences, classify a first noun phrase in subset of noun phrases as an entity, and classify a second noun phrase in subset of noun phrases as a property. The system also includes a concept-extraction module configured to identify and output a conceptual relationship between the first entity and the first property based at least partially on grammatical relationship of the first entity and the first property.
    Type: Application
    Filed: December 10, 2012
    Publication date: June 12, 2014
    Applicant: GENERAL ELECTRIC COMPANY
    Inventors: Luis Babaji Ng Tari, Abha Moitra