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Government affair big data super search method

A search method and big data technology, applied in the field of big data retrieval, can solve the problems of few types of retrieval data, insufficient retrieval scope, slow retrieval query efficiency, etc., and achieve the effect of fast and comprehensive query and viewing

Inactive Publication Date: 2021-04-16
CHINA CHANGFENG SCI TECH IND GROUPCORP
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Problems solved by technology

[0004] The purpose of the present invention is to provide a super search method for government big data, which can efficiently realize keyword full-text search, pinyin search, range search, logical combination search and portrait search, and can flexibly configure the display fields of search results to solve the problem of The existing retrieval methods have problems such as slow retrieval efficiency, few types of retrieved data, insufficient retrieval range, and difficulty in modifying the display of search results.

Method used

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  • Government affair big data super search method

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Embodiment Construction

[0016] Such as figure 1 As shown, the system used in the present invention includes a front-end display module, a super search module, a data management module, a holographic file module, and a data storage module. The front-end display module provides a unified search entry for keyword retrieval, pinyin retrieval, logical combination retrieval, image retrieval, etc., provides search result display and screening according to different departments and categories, and supports viewing of holographic files; the super search module It is based on the ElasticSearch full-text search engine, builds a full-text index library, and provides functions such as parser, image recognition, word breaker, queryer, range search, pinyin search, logical combination search, and external interface; the data governance module provides metadata management , dictionary management, resource directory, resource item configuration and other functions; the holographic archive module provides functions suc...

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Abstract

The invention discloses a government affair big data super search method, which mainly solves the problem of efficient query and retrieval of large-scale structured data by adopting an ElasticSearch + MPP architecture, can efficiently realize keyword full-text retrieval, pinyin retrieval, range retrieval, logic combination retrieval and portrait retrieval, and can flexibly configure display fields of search results. The problems that an existing retrieval mode is low in retrieval query efficiency, few in retrieval data type, insufficient in retrieval range, difficult in search result display and modification and the like are solved, and meanwhile, rapid and comprehensive query and viewing of detail information of search results can be realized in combination with MPP DB, HDFS and Neo4j multi-type data storage modes.

Description

technical field [0001] The invention belongs to the technical field of big data retrieval, and relates to a super search method for government affairs big data based on ElasticSearch and MPPDB. Background technique [0002] Big data is a new stage of informatization development. With the integration of information technology and human production and life, and the rapid popularization of the Internet, global data has shown explosive growth and massive accumulation, which has had a major impact on economic development, social governance, state management, and people's lives. [0003] Government big data search refers to the retrieval, classification, screening, filtering and sorting of big data collections based on data characteristics, such as keywords, semantics, content, portraits, etc. In the early days, government data retrieval mainly relied on SQL-based database retrieval. With the increase of data volume, it gradually developed to Solr-based full-text retrieval. How...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06F16/22G06F16/28G06F16/9535
Inventor 张丹普董雪梅
Owner CHINA CHANGFENG SCI TECH IND GROUPCORP
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