Patents by Inventor Chengchong Zhang

Chengchong Zhang 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).

  • System and method for building an evolving ontology from user-generated content
    Patent number: 11003638
    Abstract: A method and system for constructing an evolving ontology database. The method includes: receiving a plurality of data entries; calculating semantic similarity scores between any two of the data entries; clustering the data entries into a multiple current themes based on the semantic similarity scores; selecting, new concepts from the current themes by comparing the current themes with a plurality of previous themes prepared using previous data entries; and updating the evolving ontology database using the new concepts. The semantic score between any two of the data entries are calculated by: semantic similarity score=?i=0nsie?j=0kwj×f j, where si is weight of features sources, fj is a feature similarity between the two of the data entries, wj is a weight of fj, and j, k and n are positive integers.
    Type: Grant
    Filed: October 29, 2018
    Date of Patent: May 11, 2021
    Assignees: Beijing Jingdong Shangke Information Technology Co., Ltd., JD.com American Technologies Corporation
    Inventors: Shizhu Liu, Kailin Huang, Li Chen, Jianxun Sun, Ning Xu, Chengchong Zhang, Hui Zhou
  • SYSTEM AND METHOD FOR BUILDING AN EVOLVING ONTOLOGY FROM USER-GENERATED CONTENT
    Publication number: 20200134058
    Abstract: A method and system for constructing an evolving ontology database. The method includes: receiving a plurality of data entries; calculating semantic similarity scores between any two of the data entries; clustering the data entries into a multiple current themes based on the semantic similarity scores; selecting, new concepts from the current themes by comparing the current themes with a plurality of previous themes prepared using previous data entries; and updating the evolving ontology database using the new concepts. The semantic score between any two of the data entries are calculated by: semantic similarity score=?i=0nsie?j=0kwj×f j, where si is weight of features sources, fj is a feature similarity between the two of the data entries, wj is a weight of fj, and j, k and n are positive integers.
    Type: Application
    Filed: October 29, 2018
    Publication date: April 30, 2020
    Inventors: Shizhu Liu, Kailin Huang, Li Chen, Jianxun Sun, Ning Xu, Chengchong Zhang, Hui Zhou