公开(公告)号：US20240078441A1

公开(公告)日：2024-03-07

申请号：US18505892

申请日：2023-11-09

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Rong Duan ,  Kangxing Hu ,  Wenwen Huang ,  Yuan Yuan ,  Wen Peng ,  Chunxi Liu ,  Qinjie Yang ,  Xiaoliang Yin ,  Shufan Li

IPC: G06N5/02

CPC classification number: G06N5/02

Abstract: A method for knowledge representation and deduction of service logic includes: generating, based on a knowledge representation model, a semantic graph corresponding to conceptual-layer service logic, where the semantic graph includes one or more types of nodes and edges for connecting the one or more types of nodes, and the nodes include at least a node of a variable type; generating, based on the semantic graph and a physical table to which a service object is mapped, an instance graph, where the instance graph includes the nodes and edges in the semantic graph; generating executable code based on a service logic relationship between the nodes in the instance graph; and determining, based on the executable code and a data instance corresponding to a node whose in-degree is 0 in the instance graph, a data instance corresponding to each node in the instance graph.

公开(公告)号：US20240070589A1

公开(公告)日：2024-02-29

申请号：US18505850

申请日：2023-11-09

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Rong Duan ,  Yuan Yuan ,  Kangxing Hu ,  Chunxi Liu ,  Wenwen Huang ,  Wen Peng

IPC: G06Q10/0637

CPC classification number: G06Q10/06375

Abstract: A method of engineering forecast and analysis is provided. The method includes: generating a forecasting model based on financial or business information obtained through a user interface, where the forecasting model expresses a logical determining and/or calculation rule based on a structure of a high-order directed graph and by using a plurality of nodes, attributes of the plurality of nodes, and a relationship between every two of the plurality of nodes, and the forecasting model expresses a forecasting path through a directed edge between the nodes; and configuring a common attribute of the forecasting model, an attribute of the forecasting path, and a personalized attribute of the node based on instantiation configuration information.