Title:
ENTERPRISE RISK DETECTION METHOD AND APPARATUS BASED ON ENTERPRISE CREDIT INVESTIGATION BIG DATA KNOWLEDGE GRAPH
Document Type and Number:
WIPO Patent Application WO/2023/178767
Kind Code:
A1
Abstract:
Disclosed in the present disclosure are an enterprise risk detection method and apparatus based on an enterprise credit investigation big data knowledge graph. The method comprises: constructing an enterprise credit investigation big data unified information model by means of sub-domain data of dispersed data; on the basis of the enterprise credit investigation big data unified information model, constructing a first enterprise credit investigation big data field ontology in a top-down mode; performing entity extraction and relationship extraction on data in an enterprise credit investigation big data field in a bottom-up construction mode, and selecting high-quality new words to expand the scale of the first enterprise credit investigation big data field ontology, so as to construct a second enterprise credit investigation big data field ontology; and on the basis of the constructed ontology, constructing an enterprise credit investigation big data knowledge graph by using enterprise credit investigation big data, performing feature acquisition by means of the knowledge graph, inputting the acquired feature data into a trained risk control model, and outputting a classification result, which is used for classifying an enterprise. The present disclosure improves the accuracy of an enterprise credit investigation field knowledge graph ontology, and improves the performance of a risk control model.
Inventors:
SONG MEINA (CN)
LIU YU (CN)
E HAIHONG (CN)
OU ZHONGHONG (CN)
ZHANG GUANGWEI (CN)
YU XIE (CN)
DONG YAFEI (CN)
LI GUOYING (CN)
FENG YU (CN)
GUO XIAOXUE (CN)
GUO JINGJING (CN)
LIU YU (CN)
E HAIHONG (CN)
OU ZHONGHONG (CN)
ZHANG GUANGWEI (CN)
YU XIE (CN)
DONG YAFEI (CN)
LI GUOYING (CN)
FENG YU (CN)
GUO XIAOXUE (CN)
GUO JINGJING (CN)
Application Number:
PCT/CN2022/087210
Publication Date:
September 28, 2023
Filing Date:
April 15, 2022
Export Citation:
Assignee:
BEIJING UNIV OF POSTS&TELECOMMUNICATIONS (CN)
International Classes:
G06F16/36
Foreign References:
| CN114066242A | 2022-02-18 | |||
| CN114202223A | 2022-03-18 | |||
| CN112131275A | 2020-12-25 | |||
| CN113537796A | 2021-10-22 | |||
| US20210166167A1 | 2021-06-03 |
Attorney, Agent or Firm:
TSINGYIHUA INTELLECTUAL PROPERTY LLC (CN)
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