Government office document multi-machine retrieval method and system

Abstract

The embodiment of the invention provides a government office document multi-machine retrieval method and system. The government office document multi-machine retrieval method comprises: when any government office user uploads an office document through the front end of the government office user, storing the office document in a background original document library; reading the obtained text information of the office document and preprocessing the text information; extracting key information from the preprocessed text information; triggering an automatic index updating mode of the background search framework, constructing an index of the office document by the automatic index updating mode, and updating search engine service of the background to the office document according to the index of the office document; and when any government office user retrieves a query statement in the search engine service at the front end of the government office user from all office documents of all backgrounds, displaying the office document which conforms to the authority of the government office user and is matched with the query statement to the user; uploading a document to a background for analysis and processing through a front end, and establishing a search engine to realize rapid file retrieval; and constructing a document sharing database to realize document online retrieval.

Description

technical field [0001] The invention relates to the field of government office document processing, in particular to a multi-machine retrieval method and system for government office documents. Background technique [0002] In the daily office work of the government, a large number of official documents will be generated. These documents are accumulated as business data information, and are often faced with query and retrieval. The existing stand-alone document retrieval software mainly has the following status quo and problems: 1. Relying on the file name query is limited by the character length, the amount of information that can be retrieved is limited, and the internal text information of the document cannot be queried; 2. By retrieving the internal information of the document to query, Although the accuracy is high, it needs to analyze and extract all the document texts of the system in real time, and the system overhead is large and the speed is slow. 3. The internal ...

AI Technical Summary

Problems solved by technology

The existing stand-alone document retrieval software mainly has the following status quo and problems: 1. Relying on the file name query is limited by the character length, the amount of information that can be retrieved is limited, and the internal text information of the document cannot be queried; 2. By retrieving the internal information of the document to query, Although the accuracy is high, it needs to analyze and extract all the document texts of the system in real time, the system overhead is large and the speed is slow

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