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

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...

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. Existing database and data warehouse technologies have made it difficult to analyze existing data

[0010] The main defects of the existing technical solutions include: the ontology method is not introduced into the administrative object information modeling; the distributed big data analysis is not introduced into the administrative object big data association analysis; the ontology method is not combined with the distributed big data analysis method

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