Administrative object distribution type large data association analyzing method based on body

A technology of correlation analysis and big data, applied in the field of e-government information resource development, can solve the problems of difficult integration, difficult data analysis, large data volume, etc., and achieve the effect of reducing implementation costs, investment requirements, and implementation difficulties.

Active Publication Date: 2014-07-23
海豚行云(上海)科技有限公司
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AI Technical Summary

Problems solved by technology

[0007] a) Data is stored in a decentralized manner, which is difficult to integrate due to objective reasons such as administrative barriers;
[0008] b) The data lacks a top-level structure, and the data identification, data structure, and attribute description are not unified, making it impossible to directly access and use it in a unified administrative object coding method;
[0009] c) The amount of data is large and growing rapidly. Exis...

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  • Administrative object distribution type large data association analyzing method based on body

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Embodiment Construction

[0028] Such as figure 1 As shown, the ontology-based administrative object distributed big data association analysis method described in the embodiment of the present invention mainly consists of the following steps:

[0029] ⑴Taking civil affairs administrative objects as an example, carry out ontology modeling of civil affairs and administrative objects: including natural persons and legal persons;

[0030] (2) Construct the main node to facilitate the realization of the distributed semantic network association and the unified management function of big data processing. The specific method is: design the top-level semantic network of the main node, the big data processing requirements of the main node, and the distributed computing model setting in the overall management department of the Civil Affairs Bureau , lower node interface;

[0031] Among them, the main node semantic network realizes the retrieval function of the semantic information of each node-level semantic net...

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Abstract

The invention relates to an administrative object distribution type large data association analyzing method based on a body. The method comprises the following steps that (1) body modeling is carried out on administrative objects respectively, wherein natural persons and legal persons are included; (2) a host node is structured to achieve association of all distributed semantic nets and a unified management function of large data processing conveniently; (3) finally, sub nodes are structured, node level semantic nets and node large data processing platforms are designed in a secondary administrative department. The administrative object distribution type large data association analyzing method based on the body has the advantages that concentration of government affair data is not needed, implementation difficulty and implementation cost are lowered, unified identification, unified structures and unified attribute description methods of the administrative objects can be established conveniently, the basic problems of an administrative object information association model are solved, flexibility is maintained, a distributed large data analysis and processing frame combined with the body is adopted, the administrative object information large data analysis problem under dispersed storage is solved, and total software and hardware investment demands are reduced.

Description

technical field [0001] The invention relates to the technical field of e-government information resource development, in particular to an ontology-based distributed big data association analysis method for administrative objects. Background technique [0002] First of all, ontology, which originated from philosophy, has received widespread attention in the field of information science, and its importance has been reflected in many aspects, such as knowledge engineering, database design and integration, information retrieval and acquisition, software engineering, natural language processing, etc. . In particular, the application of ontology on the Web has led to the birth of the Semantic Web, which is expected to solve the semantic problems of Web information sharing and realize worldwide knowledge-level information integration; the ontology itself is mature, but it still lacks the ontology modeling of administrative objects and analyse. [0003] Second, for the big data an...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/212
Inventor 叶林邓高峰朱晓辉王峰刘晶罗宁
Owner 海豚行云(上海)科技有限公司
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