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Method and device for realizing graph conversion based on MongoDB

A matching device and directed graph technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of infeasible model conversion and huge workload, and achieve the effect of convenient query and use

Active Publication Date: 2015-07-22
NANJING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows for efficient storing and accessing large amounts of data from one place into another without requiring too much space or slowing down its operation speed. It uses an underlying system called DBMS that converts models based upon their attributes like structure (schema) and content type. Additionally, it provides support for distributed computing by allowing queries made against this transformed model directly within the dataset being processed. Overall, these technical features improve efficiency and flexibility when working with big datasets.

Problems solved by technology

This patented describes two technical methods - models driven engineering and mode transferring technology. These techniques help improve software production processes and reduce their cost. However, these existing tools have limitations such as being limited in terms of input/output capabilities and requiring manual interventions during implementation due to its fixed nature. Therefore there needs improvement over current toolboxes with regards to automation and efficient management of modularized systems.

Method used

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  • Method and device for realizing graph conversion based on MongoDB
  • Method and device for realizing graph conversion based on MongoDB
  • Method and device for realizing graph conversion based on MongoDB

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Embodiment Construction

[0055] The present invention will be described in further detail below in conjunction with the accompanying drawings of the description.

[0056] Such as figure 1 As shown, the device for implementing graph conversion based on MongoDB in the present invention includes an input device 1, a storage model construction device 2, a model instance storage device 3, a pre-matching device 4, a rule conversion device 5 and MongoDB6. Among them, MongoDB6 is a file-oriented database management system, which is familiar to those skilled in the art and will not be repeated here. The input device 1, storage model construction device 2, model instance storage device 3, pre-matching device 4, and rule conversion device 5 correspond to steps S1, S2, S3, S4, and S5 in the method of the present invention respectively. Combine below figure 2 , image 3 , Figure 4 The meta-model, model instance, and conversion rules in the example are detailed descriptions of the input device 1 , the storage...

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Abstract

The invention discloses a method and device for realizing graph conversion based on MongoDB. A meta-model, a model embodiment and conversion rules are input. A data structure for storing of the meta-model is built in the MongoDB, then the model embodiment is stored in the MongoDB, and model embodiment fragments meeting the pre-condition of the conversion rules in the model embodiment are converted into model embodiment fragments under a post-condition of the conversion rules through the database operations such as inquiry, updating and insertion through the MongoDB. Model conversion takes the MongoDB as the intermediary. Large-scale model conversion can be realized. Distributive model conversion can be supported. The converted models are also stored in the MongoDB. Inquiry and modification of output models are facilitated.

Description

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Claims

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Application Information

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Owner NANJING UNIV
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