Patents by Inventor Mans Olof-Ors

Mans Olof-Ors 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: 11449218
    Abstract: The present disclosure is directed towards systems and methods for evaluating and classifying data, which comprises receiving a first signal associated with a set of user defined categories and a second signal associated with a first set of one or more data items to be analyzed. The set of categories are presented on an interface and each of the data items are to be analyzed are presented on a tile overlay on the interface. A first swipe identification signal identifying a first category to apply to a first data item and a second swipe identification signal identifying a second category to apply to a second data item are received. Based upon the swipe identification signals, a first record associating the first data item with the first category and a second record associating the second data item with the second category are generated and stored in a memory.
    Type: Grant
    Filed: July 17, 2015
    Date of Patent: September 20, 2022
    Assignee: Thomson Reuters Enterprise Centre GmbH
    Inventors: Jack G. Conrad, Mans Olof-Ors, Peter Pircher
  • Patent number: 11386096
    Abstract: Systems and techniques for exploring relationships among entities are disclosed. The systems and techniques provide an entity-based information analysis and content aggregation platform that uses heterogeneous data sources to construct and maintain an ecosystem around tangible and logical entities. Entities are represented as vertices in a directed graph, and edges are generated using entity co-occurrences in unstructured documents and supervised information from structured data sources. Significance scores for the edges are computed using a method that combines supervised, unsupervised and temporal factors into a single score. Important entity attributes from the structured content and the entity neighborhood in the graph are automatically summarized as the entity fingerprint. Entities may be compared to one another based on similarity of their entity fingerprints. An interactive user interface is also disclosed that provides exploratory access to the graph and supports decision support processes.
    Type: Grant
    Filed: March 18, 2019
    Date of Patent: July 12, 2022
    Assignee: REFINITIV US ORGANIZATION LLC
    Inventors: Hassan Malik, Mans Olof-Ors, Ian MacGillivray, Christy Hatch
  • Patent number: 11222052
    Abstract: Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora. The system combines Machine Learning models to identify sentences mentioning supply chain between two companies (evidence), and an aggregation layer to take into account the evidence found and assign a confidence score to the relationship between companies.
    Type: Grant
    Filed: May 24, 2019
    Date of Patent: January 11, 2022
    Inventors: Shai Hertz, Mans Olof-Ors, Enav Weinreb, Oren Hazai, Geoff Horrell, Yael Lindman, Yehonatan Mataraso, Phani Nivarthi
  • Patent number: 11089448
    Abstract: According to some embodiments, systems, methods, computer program code, and means are provided to receive a broadcast request and a message from a first mobile device where the first mobile device is associated with a first user, compare information in the message to information in a preferences database to match the message with at least a first recipient of the message, and to transmit the message to a second mobile device associated with at least the first recipient.
    Type: Grant
    Filed: April 18, 2019
    Date of Patent: August 10, 2021
    Assignee: Refinitiv US Organization LLC
    Inventor: Mans Olof-Ors
  • Patent number: 10650049
    Abstract: Systems and techniques for determining significance between entities are disclosed. The systems and techniques identify a first entity having an association with a second entity, apply a plurality of association criteria to the association, weight each of the criteria based on defined weight values, and compute a significance score for the first entity with respect to the second entity based on a sum of a plurality of weighted criteria values. The systems and techniques utilize information from disparate sources to create a uniquely powerful signal. The systems and techniques can be used to identify the significance of relationships (e.g., associations) among various entities including, but not limited to, organizations, people, products, industries, geographies, commodities, financial indicators, economic indicators, events, topics, subject codes, unique identifiers, social tags, industry terms, general term/s, metadata elements, classification codes, and combinations thereof.
    Type: Grant
    Filed: November 14, 2016
    Date of Patent: May 12, 2020
    Assignee: REFINITIV US ORGANIZATION LLC
    Inventors: Hassan H. Malik, Mans Olof-Ors
  • Publication number: 20190354544
    Abstract: Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora. The system combines Machine Learning models to identify sentences mentioning supply chain between two companies (evidence), and an aggregation layer to take into account the evidence found and assign a confidence score to the relationship between companies.
    Type: Application
    Filed: May 24, 2019
    Publication date: November 21, 2019
    Applicant: Refinitiv US Organization LLC
    Inventors: Shai Hertz, Mans Olof-Ors, Enav Weinreb, Oren Hazai, Geoff Horrell, Yael Lindman, Yehonatan Mataraso, Phani Nivarthi
  • Publication number: 20190278777
    Abstract: Systems and techniques for exploring relationships among entities are disclosed. The systems and techniques provide an entity-based information analysis and content aggregation platform that uses heterogeneous data sources to construct and maintain an ecosystem around tangible and logical entities. Entities are represented as vertices in a directed graph, and edges are generated using entity co-occurrences in unstructured documents and supervised information from structured data sources. Significance scores for the edges are computed using a method that combines supervised, unsupervised and temporal factors into a single score. Important entity attributes from the structured content and the entity neighborhood in the graph are automatically summarized as the entity fingerprint. Entities may be compared to one another based on similarity of their entity fingerprints. An interactive user interface is also disclosed that provides exploratory access to the graph and supports decision support processes.
    Type: Application
    Filed: March 18, 2019
    Publication date: September 12, 2019
    Applicant: REFINITIV US ORGANIZATION LLC
    Inventors: Hassan Malik, Mans Olof-Ors, Ian MacGillivray, Christy Hatch
  • Patent number: 10394837
    Abstract: The present invention provides a digital communications system for receiving and integrating multiple service communication feeds into an overall composite deliverable by way of an enhanced and interactive user interface. The system receives peer identification and scoring communications signals from multiple services and based on known handshake configurations links peer identification data to dimensions used to generate an integrated peer identification score and list. A graphical user interface allows users to modify the dimension aggregator function to obtain customizable sets of results based on services communications feeds.
    Type: Grant
    Filed: October 29, 2015
    Date of Patent: August 27, 2019
    Assignee: Refinitiv US Organization LLC
    Inventors: Mans Olof-Ors, Marc Kukura, Sam Chadwick, Enav Weinreb, Peter Pircher
  • Publication number: 20190246245
    Abstract: According to some embodiments, systems, methods, computer program code, and means are provided to receive a broadcast request and a message from a first mobile device where the first mobile device is associated with a first user, compare information in the message to information in a preferences database to match the message with at least a first recipient of the message, and to transmit the message to a second mobile device associated with at least the first recipient.
    Type: Application
    Filed: April 18, 2019
    Publication date: August 8, 2019
    Inventor: Mans Olof-Ors
  • Patent number: 10303999
    Abstract: Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora. The system combines Machine Learning models to identify sentences mentioning supply chain between two companies (evidence), and an aggregation layer to take into account the evidence found and assign a confidence score to the relationship between companies.
    Type: Grant
    Filed: May 31, 2017
    Date of Patent: May 28, 2019
    Assignee: Refinitiv US Organization LLC
    Inventors: Shai Hertz, Mans Olof-Ors, Enav Weinreb, Oren Hazai, Geoff Horrell, Yael Lindman, Yehonatan Mataraso, Phani Nivarthi
  • Patent number: 10306426
    Abstract: According to some embodiments, systems, methods, computer program code, and means are provided to receive a broadcast request and a message from a first mobile device where the first mobile device is associated with a first user, compare information in the message to information in a preferences database to match the message with at least a first recipient of the message, and to transmit the message to a second mobile device associated with at least the first recipient.
    Type: Grant
    Filed: December 20, 2013
    Date of Patent: May 28, 2019
    Assignee: Refinitiv US Organization LLC
    Inventor: Mans Olof-Ors
  • Patent number: 10290055
    Abstract: According to some embodiments, systems, methods, apparatus, computer program code and means are provided to encode data in a text message and to send the text message to a mobile device associated with a user.
    Type: Grant
    Filed: April 21, 2006
    Date of Patent: May 14, 2019
    Assignee: Refinitiv US Organization LLC
    Inventors: Mans Olof-Ors, David Lehr
  • Patent number: 10235425
    Abstract: Systems and techniques for exploring relationships among entities are disclosed. The systems and techniques provide an entity-based information analysis and content aggregation platform that uses heterogeneous data sources to construct and maintain an ecosystem around tangible and logical entities. Entities are represented as vertices in a directed graph, and edges are generated using entity co-occurrences in unstructured documents and supervised information from structured data sources. Significance scores for the edges are computed using a method that combines supervised, unsupervised and temporal factors into a single score. Important entity attributes from the structured content and the entity neighborhood in the graph are automatically summarized as the entity fingerprint. Entities may be compared to one another based on similarity of their entity fingerprints. An interactive user interface is also disclosed that provides exploratory access to the graph and supports decision support processes.
    Type: Grant
    Filed: March 22, 2016
    Date of Patent: March 19, 2019
    Assignee: Thomson Reuters Global Resources Unlimited Company
    Inventors: Hassan Malik, Mans Olof-Ors, Ian MacGillivray, Christy Hatch
  • Patent number: 10216846
    Abstract: Exemplary embodiments of the present disclosure relate to systems and methods for providing information about a sector and geographic focus of a company and enables user to identify the top product/brands of a company. Trademark records can be leveraged and combined with other sources of data, which can be presented to a user in an integrated graphical user interface, to facilitate combinatorial business intelligence for one or more companies. Analytical data associated with trademark records corresponding to the company included in the search can be generated to provide a ranked list of trademarked names/brands for the company and a combined or integrated view can be generated in a graphical user interface that includes the ranked list of the trademarked names/brands for the company and also includes the recent news or other information related to the trademark names/brands.
    Type: Grant
    Filed: October 20, 2015
    Date of Patent: February 26, 2019
    Assignee: Thomson Reuters (GRC) LLC
    Inventors: David von Rickenbach, Mark Brusadelli, David Harper, John Kelly, Marc Kukura, Mans Olof-Ors
  • Publication number: 20180082183
    Abstract: Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora. The system combines Machine Learning models to identify sentences mentioning supply chain between two companies (evidence), and an aggregation layer to take into account the evidence found and assign a confidence score to the relationship between companies.
    Type: Application
    Filed: May 31, 2017
    Publication date: March 22, 2018
    Applicant: Thomson Reuters Global Resources
    Inventors: Shai Hertz, Mans Olof-Ors, Enav Weinreb, Oren Hazai, Geoff Horrell, Yael Lindman, Yoni Mataraso, Phani Nivarthi
  • Publication number: 20170220674
    Abstract: Systems and techniques for determining significance between entities are disclosed. The systems and techniques identify a first entity having an association with a second entity, apply a plurality of association criteria to the association, weight each of the criteria based on defined weight values, and compute a significance score for the first entity with respect to the second entity based on a sum of a plurality of weighted criteria values. The systems and techniques utilize information from disparate sources to create a uniquely powerful signal. The systems and techniques can be used to identify the significance of relationships (e.g., associations) among various entities including, but not limited to, organizations, people, products, industries, geographies, commodities, financial indicators, economic indicators, events, topics, subject codes, unique identifiers, social tags, industry terms, general term/s, metadata elements, classification codes, and combinations thereof.
    Type: Application
    Filed: November 14, 2016
    Publication date: August 3, 2017
    Applicant: Thomson Reuters Global Resources
    Inventors: Hassan H. Malik, Mans Olof-Ors
  • Patent number: 9721217
    Abstract: Systems and method for making intelligent business development and licensing decisions are disclosed. The present invention generally relates to an analytical tool that combines multiple data and content sets based on user selected factors and presents the data in the form of manipulatable visualizations to facilitate decision making to address a specific business problem. More specifically, this invention relates to providing a single portal for access to a decision support system that enables the visualization of data from multiple content and data sets to facilitate decision making related to opportunities analysis, asset acquisition, and intellectual property licensing.
    Type: Grant
    Filed: June 10, 2013
    Date of Patent: August 1, 2017
    Assignee: Camelot UK Bidco Limited
    Inventors: Mark Gordon, Tim Miller, Mans A Olof-Ors, Hassan Malik, Andrej Bugrim, Colin Williams
  • Patent number: 9646343
    Abstract: The disclosure relates to entity disambiguation in an interactive fashion based upon attributes. Once disambiguated, a manner in which to review a future article based upon an initial set of attributes and an additional set of attributes and, when needed, generate a warning flag based upon the review is also described. The warning flag may result in a change in the relationship between the entity and an organization such as a bank that is considering engaging in a business relationship with a candidate client, and that may subsequently abandon that plan, or a bank that had previously extended credit to the entity, and that subsequently may be less inclined as a result of the information retrieved by the present invention. A previously accepted entity may also be flagged for credit or anti-money laundering consideration if and when the applicant's situation (e.g., financial situation, involvement in anti-money laundering) changes.
    Type: Grant
    Filed: June 13, 2014
    Date of Patent: May 9, 2017
    Assignee: Thomson Reuters Global Resources
    Inventors: Patrick Hinchin, Jochen Lothar Leidner, Mans Olof-Ors, Stuart Whatley
  • Publication number: 20170017387
    Abstract: The present disclosure is directed towards systems and methods for evaluating and classifying data, which comprises receiving a first signal associated with a set of user defined categories and a second signal associated with a first set of one or more data items to be analyzed. The set of categories are presented on an interface and each of the data items are to be analyzed are presented on a tile overlay on the interface. A first swipe identification signal identifying a first category to apply to a first data item and a second swipe identification signal identifying a second category to apply to a second data item are received. Based upon the swipe identification signals, a first record associating the first data item with the first category and a second record associating the second data item with the second category are generated and stored in a memory.
    Type: Application
    Filed: July 17, 2015
    Publication date: January 19, 2017
    Applicant: Thomson Reuters Global Resources
    Inventors: Jack G. Conrad, Mans Olof-Ors, Peter Pircher
  • Patent number: 9495635
    Abstract: Systems and techniques for determining significance between entities are disclosed. The systems and techniques identify a first entity having an association with a second entity, apply a plurality of association criteria to the association, weight each of the criteria based on defined weight values, and compute a significance score for the first entity with respect to the second entity based on a sum of a plurality of weighted criteria values. The systems and techniques utilize information from disparate sources to create a uniquely powerful signal. The systems and techniques can be used to identify the significance of relationships (e.g., associations) among various entities including, but not limited to, organizations, people, products, industries, geographies, commodities, financial indicators, economic indicators, events, topics, subject codes, unique identifiers, social tags, industry terms, general term/s, metadata elements, classification codes, and combinations thereof.
    Type: Grant
    Filed: May 13, 2011
    Date of Patent: November 15, 2016
    Assignee: Thomson Reuters Global Resources
    Inventors: Hassan H. Malik, Mans Olof-Ors