Analysis processing method and device, computer storage medium and terminal

Abstract

The invention discloses an analysis processing method and device, a computer storage medium and a terminal. The analysis processing method comprises the following steps: converting and inputting currently retrieved retrieval information into retrieval judgment information; Determining whether the current retrieval is carried out by adopting an online retrieval mode or not according to the retrieval judgment information through a preset adaptation rule; When it is not determined that the online retrieval mode is adopted for current retrieval through the adaptation rule, a retrieval mode used for current retrieval is determined according to a preset cost assessment strategy; Wherein the retrieval information is used for describing retrieval conditions of a retrieval target; Wherein the retrieval mode comprises one or more of the following retrieval modes: online retrieval and offline retrieval. According to the embodiment of the invention, the usability of a knowledge graph system is improved, and the stability of a retrieval system is enhanced.

Description

technical field [0001] This article involves but is not limited to knowledge graph technology, especially a method, device, computer storage medium and terminal for analysis and processing. Background technique [0002] Knowledge graphs are used to describe the relationship between things. One of the description methods of knowledge graph includes defining entities in the graph (ie, points in the graph), relationships (ie, edges in the graph), and attributes related to points / edges (ie, attribute graphs). With the continuous enrichment of data information in various fields, the scale of knowledge graph data continues to grow, and a huge and massive knowledge graph database has gradually formed, which poses a greater challenge to the application of knowledge graphs. In addition, with the continuous refinement and enrichment of applications in various vertical fields, only defining points, edges, and attributes can no longer meet the needs of specific industries to describe t...

AI Technical Summary

Problems solved by technology

[0004] At present, the online analysis system and the offline analysis system are relatively independent, and technicians need to make decisions on the analysis system suitable for the current analysis application during operation, which raises the threshold for using the system and increases the complexity of use

And in some scenarios, once the wrong choice is made, more serious results may occur (for example, submitting a complex analysis requirement to the online analysis system may affect the stability and response time of the online analysis system, and may cause the analysis to time out fail)

Images