Knowledge model serviceability and process customization system

Abstract

The invention discloses a knowledge model serviceability and process customization system, comprising: a knowledge model, which is used for carrying out statistical analysis according to different numerical statistics indexes and carrying out spatial analysis on data sets participating in spatial analysis to determine an optimal spatial analysis result; a knowledge model, which is used for carrying out statistical analysis according to different numerical statistics indexes and carrying out spatial analysis on data sets participating in spatial analysis. A knowledge service pool, comprising aknowledge service container and a knowledge service component, for providing services to the outside through the knowledge service component; The knowledge engine is used for combining different business scenarios with different knowledge models to form a knowledge chain by using a process engine, and calculating the knowledge chain to obtain an operation result; A visualization layer for presenting the results of the operation. On the basis of realizing the serviceability of the spatio-temporal knowledge model, the embodiment of the invention establishes an online visualization customizationframework of the knowledge service, which can expand a plurality of knowledge models, and by assembling the knowledge models of the atomic granularity on demand, helps users to complete online big data analysis, and meets the analysis and application requirements of the spatio-temporal big data under a plurality of application scenarios.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a knowledge model service and process customization system. Background technique [0002] The knowledge service system gathers the experience and skills scattered among individuals, realizes knowledge sharing, organizes industry knowledge, enables computers to assist decision-making like experts, and becomes a collection of comprehensive knowledge, improving the original or newly-built systems of enterprises, so that Intelligent. [0003] At present, the following technologies are usually used for knowledge service and process customization: [0004] Visual spatial modeling technology: Currently, existing spatial modeling tools and model generators (for example: ERDASIMAGINE spatial modeling tool (Spatial Modeler) and ESRI ArcGIS model generator (Model Builder)) provide visual object-oriented In the model language environment, users can draw a flow chart on the panel by...

AI Technical Summary

Problems solved by technology

[0008] (1) Most of the current GIS data modeling systems or tools do not conform to workflow product specifications, have their own software architecture and API call interface, and the spatial models are also inconsistent, and they do not support interoperability;

[0009] (2) Most of the current GIS data modeling systems or tools are based on a specific GIS software, the system is not flexible enough, and the scalability is poor

Due to the dependence on a specific GIS software, the scope of application is limited;

[0010] (3) The current GIS data modeling systems or tools are often oriented to professional stand-alone users and do not have online analysis and mining capabilities

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