Multi-dimensional data association and analysis method and device, storage medium and computer equipment

Abstract

The embodiment of the invention provides a multi-dimensional data association and analysis method and device, a storage medium and computer equipment. The method comprises the following steps: collecting a primary entity, a secondary entity, a definition relationship and a definition attribute; constructing a time and space multi-dimensional model containing the primary entity, the secondary entity, the definition relationship and the definition attribute; analyzing the primary entity and the secondary entity according to the multi-dimensional model; and analyzing the primary entity and the secondary entity according to the multi-dimensional model, thereby making up the defects of the existing knowledge model and providing convenience for knowledge analysis.

Description

【Technical field】 [0001] The present invention relates to the field of computer science, in particular to a method, device, storage medium and computer equipment for association and analysis of multidimensional data. 【Background technique】 [0002] Studying the representation and model of knowledge is an important link in understanding the relationship between all things in the world. From the semantic web, ontology model, knowledge graph, etc., these knowledge representation methods describe knowledge to a certain extent, and can represent the relationship between all things in the world. However, the existing knowledge representation models still have some shortcomings. [0003] The web page Internet describes the interlinking relationship between web pages, and associates different web pages through hyperlinks. The Semantic Web describes the relationship of entities in the objective world. The Semantic Web is based on the organization of graphs and links. The nodes in t...

AI Technical Summary

Problems solved by technology

[0005] 1) Insufficient ability to describe dynamic knowledge

The knowledge map can effectively construct and describe the knowledge that exists statically through triples, but for dynamic knowledge, when the knowledge content changes, such as the relationship between entities and entities changes, the knowledge map represents the knowledge of the three The tuple needs to be changed in time, which may cause a large modification of the entire knowledge graph, so it is difficult to describe such dynamically changing knowledge

[0006] 2) The knowledge graph cannot describe the time and space characteristics of knowledge in the form of triples. Many knowledge is related to time and space characteristics. For example, the knowledge "Xiao Ming likes to play football" has time characteristics. For example, Xiao Ming may be at 6 From the age of 18 to the age of 18, I like to play football, but after the age of 18, I don’t like to play football; the knowledge of “breakfast is biscuits and fried dough sticks” has spatial characteristics, which may be the case in China, but not in the West. The breakfast in the West may be coffee, bread etc.

The knowledge graph describes deterministic triple information, which cannot effectively represent knowledge with time and space characteristics

[0007] 3) There is no distinction between relationships and attributes in the knowledge graph. There may be relationships and attributes between entities. The knowledge graph representation method puts the representation methods of relationships and attributes together, but in the actual knowledge system , the users of the knowledge map need to distinguish between the relationship and the attribute, which reduces the efficiency of the knowledge map

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