Case reasoning method based on dynamic knowledge representation learning

Abstract

A case reasoning method based on dynamic knowledge representation learning comprises the following steps: 1) obtaining all related data of a broken case, dividing the related data into five categoriesof entities including personnel, cases (events), articles, places and organizations, and extracting a corresponding relationship; 2) storing the extracted events as a quadruple format in the form oftime, entities and relationships, and storing the quadruple format into a graph database; 3) optimizing hyper-parameters of Gaussian process regression based on a gradient descent algorithm; 4) usinga recurrent neural network model to carry out recurrent event reasoning on the tetrad data; 5) performing first-degree and second-degree relationship search by using the graph database, and performinglink prediction based on a search result. According to the method, the entity and relationship embedding is carried out on the tetrad through a dynamic knowledge representation learning algorithm, the training and learning are carried out on the basis of a constructed knowledge graph, the possible criminal suspects are inferred, and the police affair work is simplified.

Description

technical field [0001] The invention relates to knowledge graphs, police big data, and deep learning, and in particular to a case reasoning method based on dynamic knowledge representation learning. Background technique [0002] With the continuous improvement of the city's informatization level and the rapid development of science and technology, the popularity of artificial intelligence in today's society is getting higher and higher, and its influence is becoming more and more far-reaching. It plays a pivotal role and greatly facilitates people's daily work and life. [0003] At the Yunqi Conference in October 2016, Hangzhou Municipal Bureau of Economy and Information Technology, Alibaba and other enterprises launched the Lihangzhou "Urban Data Brain" project, preparing to rely on big data, cloud computing and artificial intelligence to integrate government data and public data. , enterprise data, and Internet data, use informatization and intelligent means to build a ci...

AI Technical Summary

Problems solved by technology

[0004] However, limited by the many deficiencies of the current deep learning technology, it can only solve tasks with regular data and relatively simple tasks. In some situations with complex structures, such as police research and judgment, it is difficult for deep learning technology to play a role, and it is still necessary to rely on Judging by human experience

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