Patents by Inventor Bo DANG

Bo DANG 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: 20260050583
    Abstract: A computer-implemented method for improved schema matching of two databases is disclosed. The method can receive a schema of a source table from a first database and a schema of a plurality of target tables from a second database, identify one or more matching tables among the plurality of target tables based on comparison of the schema of the source table and the schema of the plurality of target tables using a large language model, obtain first sample attribute data from the source table and second sample attribute data from a selected matching table, and identify one or more pairs of matching attributes between the source table and the selected matching table based on comparison of the first sample attribute data and the second sample attribute data using the large language model. Related systems and software for implementing the method are also disclosed.
    Type: Application
    Filed: August 16, 2024
    Publication date: February 19, 2026
    Applicant: SAP SE
    Inventors: Bo Dang, Jingtao Li, Guang Chen, Zezhen Han, Yang Cao
  • Patent number: 12436973
    Abstract: System, method, and various embodiments for data tagging and prompt generation are described herein. An embodiment operates by receiving input data, identifying metadata, generating one or more statistics based on the input data, calculating a sample size for the input data based on the one or more statistics and extracting a sample of the input data of the sample size. A prompt is generated based on a prompt template, and the prompt is provided to a language model configured to tag the input in accordance with the prompt. The output including tagged input data is received, and a query is executed against the tagged input data.
    Type: Grant
    Filed: October 25, 2023
    Date of Patent: October 7, 2025
    Assignee: SAP SE
    Inventors: Jing-tao Li, Jian Song, Ming Yan, Jingyuan Li, Bo Dang
  • Publication number: 20250139128
    Abstract: System, method, and various embodiments for data tagging and prompt generation are described herein. An embodiment operates by receiving input data, identifying metadata, generating one or more statistics based on the input data, calculating a sample size for the input data based on the one or more statistics and extracting a sample of the input data of the sample size. A prompt is generated based on a prompt template, and the prompt is provided to a language model configured to tag the input in accordance with the prompt. The output including tagged input data is received, and a query is executed against the tagged input data.
    Type: Application
    Filed: October 25, 2023
    Publication date: May 1, 2025
    Inventors: JING-TAO LI, Jian Song, Ming Yan, Jingyuan Li, Bo Dang
  • Publication number: 20230393296
    Abstract: An adjacent well detection apparatus, method and system. The adjacent well detection apparatus is arranged on a drill collar of a first well. The adjacent well detection apparatus includes a transmitting probe and receiving probes. The apparatus includes: the transmitting probe, configured to generate a primary magnetic field according to a bipolar transient pulse signal applied to the transmitting probe, wherein a change in the primary magnetic field can generate a second magnetic field on a sleeve of an adjacent second well; and the receiving probes, configured to generate an induced electromotive force according to the second magnetic field, wherein the induced electromotive force is used for acquiring relative distance information and orientation information of the adjacent well.
    Type: Application
    Filed: November 22, 2021
    Publication date: December 7, 2023
    Applicant: CHINA OILFIELD SERVICES LIMITED
    Inventors: Xi LUO, Guoyu LI, Bo DANG, Caihui QIN, Jinhai ZHAI, Aiyong LI, Xizhou YUE, Mingxue MA, Xinbiao JI, Yiyi WANG