Patents Assigned to zeotap GmbH
  • Patent number: 11789914
    Abstract: Method and system for providing ground truth dataset and use thereof for improving data correctness. Datasets comprising data elements are received from different sources, each data element including an identifier and at least one attribute value associated therewith. Data correctness values are determined for the attribute values, each associated with a probability that an attribute value is correct. Data element with single data correctness value is added to the ground truth dataset for each attribute value for each identifier with which a respective attribute value is associated based on the determined data correctness values for the attribute values, whereby the data correctness values in the ground truth dataset define probability distributions of data correctness for the attribute values. Data correctness values for attribute values of data elements of a new dataset can be determined based on overlapping data compared in the ground truth dataset and the new dataset.
    Type: Grant
    Filed: May 20, 2020
    Date of Patent: October 17, 2023
    Assignee: zeotap GmbH
    Inventors: Swapnasarit Sahu, Ernest Kirubakaran Selvaraj, Tushar Agarwal, Projjol Banerjea, Daniel Heer, Sathish Kumar K S
  • Patent number: 11449362
    Abstract: The present invention relates to a method for distributing resources to different data sources based on their knowledge contribution. In addition, the invention relates to a resource distribution data system for distributing resources, a computer program product for distributing resources and a computer readable medium. It may comprise the steps of receiving values from a plurality of different data sources, blending the received values for the attributes into a dataset, assigning data lineages to the values for the attributes, receiving a query for providing a data subset, providing the data subset based on the query, determining a knowledge contribution of each of the data sources to the data subset based on the data lineages of the values and instructing a distribution of shares of resources to the different data sources based on the knowledge contribution of each of the data sources to the data subset.
    Type: Grant
    Filed: May 20, 2020
    Date of Patent: September 20, 2022
    Assignee: zeotap GmbH
    Inventors: Sathish Kumar K S, Saurabh Verma, Ashwin Srinivasan, Chaitanya Bendre, Projjol Banerjea, Daniel Heer
  • Publication number: 20210365292
    Abstract: The present invention relates to a method for distributing resources to different data sources based on their knowledge contribution. In addition, the invention relates to a resource distribution data system for distributing resources, a computer program product for distributing resources and a computer readable medium. It may comprise the steps of receiving values from a plurality of different data sources, blending the received values for the attributes into a dataset, assigning data lineages to the values for the attributes, receiving a query for providing a data subset, providing the data subset based on the query, determining a knowledge contribution of each of the data sources to the data subset based on the data lineages of the values and instructing a distribution of shares of resources to the different data sources based on the knowledge contribution of each of the data sources to the data subset.
    Type: Application
    Filed: May 20, 2020
    Publication date: November 25, 2021
    Applicant: zeotap GmbH
    Inventors: Sathish Kumar K S, Saurabh Verma, Ashwin Srinivasan, Chaitanya Bendre, Projjol Banerjea, Daniel Heer
  • Publication number: 20210365420
    Abstract: The present invention relates to providing a ground truth dataset and optimizing data correctness using the ground truth dataset. A plurality of datasets is received from different data sources. The datasets comprise a plurality of data elements. Each data element includes an identifier and at least one attribute value associated with the identifier. Data correctness values are determined for the attribute values. A data correctness value is associated with a probability that an attribute value is correct. A data element with a single data correctness value is added to the ground truth dataset for each attribute value for each identifier with which a respective attribute value is associated based on the determined data correctness values for the attribute values such that the data correctness values in the ground truth dataset define probability distributions of data correctness for the attribute values.
    Type: Application
    Filed: May 20, 2020
    Publication date: November 25, 2021
    Applicant: zeotap GmbH
    Inventors: Swapnasarit Sahu, Ernest Kirubakaran Selvaraj, Tushar Agarwal, Projjol Banerjea, Daniel Heer
  • Patent number: 10033705
    Abstract: A process for the processing of user inquiries in a data network saves user data anonymized at first in an independent process with an independent third-party vendor, which can then be accessed by the use of several incremental encryption and anonymization routines in such a way that, on the one hand the provider is not involved in the data exchange and in other respects even the independent third-party vendor does not have access to the user data at any time, albeit with the result that anonymized customer data, especially information about age, sex and partial postal code, can be kept ready in a database for the mobile end device being used.
    Type: Grant
    Filed: December 3, 2015
    Date of Patent: July 24, 2018
    Assignee: zeotap GmbH
    Inventors: Daniel Heer, Jannik Podlesny
  • Publication number: 20160164847
    Abstract: A process for the processing of user inquiries in a data network saves user data anonymized at first in an independent process with an independent third-party vendor, which can then be accessed by the use of several incremental encryption and anonymization routines in such a way that, on the one hand the provider is not involved in the data exchange and in other respects even the independent third-party vendor does not have access to the user data at any time, albeit with the result that anonymized customer data, especially information about age, sex and partial postal code, can be kept ready in a database for the mobile end device being used.
    Type: Application
    Filed: December 3, 2015
    Publication date: June 9, 2016
    Applicant: zeotap GmbH
    Inventors: Daniel HEER, Jannik PODLESNY