Knowledge graph is a kind of "semantic knowledge base" formed by structured processing of various data and information, and it is also an important part of artificial intelligence.
In order to facilitate the interconnection between knowledge graph systems and promote the standardized, orderly and reliable flow of knowledge elements, recently, China Electronics Standardization Institute relies on the knowledge graph industry to promote the knowledge graph work of the Phalanx and the Artificial Intelligence Subcommittee of the National Beacon Committee. Group, together with Neusoft Group Co., Ltd., Ant Technology Group Co., Ltd., Huawei Cloud Computing Technology Co., Ltd., Shanghai Hehe Information Technology Co., Ltd. and other enterprises, as well as a number of institutions, universities and research institutes, jointly compiled and released published the "White Paper on Knowledge Graph Interconnection (2023 Edition)" (hereinafter referred to as "White Paper").
Starting from the core needs of technology, industry, and policy, the "White Paper" analyzed in detail the connotation and extension, tasks and constraints, typical application scenarios and practical cases of knowledge map interconnection, and clarified the difficulties and challenges faced in the process of development and implementation. Challenges, put forward a unified framework for the interconnection of knowledge graphs, and give prospects and suggestions from the aspects of technological development, policy support, standardization requirements, industrial promotion measures, etc., in order to release the greater value of knowledge graphs and accelerate the development of knowledge graphs in various fields Fusion applications provide support.
The "White Paper" mentioned that at this stage, there are still many "islands of knowledge" in social production and life. Affected by the lack of knowledge sharing, knowledge diffusion, knowledge dissemination, technology diffusion, and network innovation in society, coupled with the fact that many knowledge contents are owned by departments, localities, and units, they are fragmented and independent. In the face of the war, "islands of scientific research knowledge", "islands of knowledge in industrial clusters" and "islands of enterprise knowledge" were born.
To break the "island", knowledge standardization is needed to ensure the consistency and shareability of knowledge, so as to connect different knowledge elements and form a network, so that the relationship and connection between knowledge can be clearly displayed, which is also the value of knowledge graph. where. The knowledge map can integrate a large amount of information and knowledge, so that people can more conveniently obtain the knowledge and information they need, and can also promote cross-field knowledge sharing and cooperation, which is very important for improving the overall intelligence level of society, accelerating scientific research and promoting society. Progress matters.
In the process of compiling this white paper, Hehe Information gave full play to its technical accumulation and rich application experience in the field of knowledge graphs, and contributed professional insights to the core content of the white paper. Knowledge graph technology is one of the core technologies of Hehe Information in the field of commercial big data. "Multi-source heterogeneous ultra-large-scale dynamic knowledge graph construction technology" and "ultra-large-scale knowledge graph reasoning and mining technology" are the main innovative technologies of Hehe Information in the field of knowledge graphs, which can penetrate complex appearances and deeply mine the recessiveness behind data Relationships and knowledge to provide decision support for multi-industry clients.
Full-dimensional portrait of financial institution customers ( Source: "White Paper on Knowledge Graph Interconnection (2023 Edition)" )
In addition, Hehe Information has created a "financial institution customer due diligence" solution based on knowledge graph technology to help banks and other financial institutions deal with increasingly rampant telecom fraud, illegal fund-raising, illegal pyramid schemes, cross-border gambling, underground banks and other illegal and criminal acts. Relevant cases have been included in the practical case section of knowledge graph interconnection in the "White Paper".
In practice, Qixinbao, a subsidiary of Hehe Information, uses knowledge graph technology to realize in-depth mining and visual presentation of corporate relationships. Supply chain relationships, industrial chain relationships and other related relationships help banks, securities firms and other financial institutions to strengthen their risk control capabilities, identify and avoid hidden potential risks, and have outstanding applications in many scenarios such as due diligence, unified credit granting, and corporate marketing.
In the future, the company will continue to uphold the spirit of innovation, continue to promote the innovative application and standardization of knowledge graph technology, facilitate the interconnection of knowledge graphs, and jointly build a new ecology of knowledge services.