Quick query method suitable for research and development database

Abstract

The invention relates to a quick query method suitable for a research and development database. The method includes the steps that a storage server matches a retrieval label for the content in the database; a retrieval server conducts association correlation on the retrieval label; the retrieval server conducts retrieval hint on the retrieval label meeting the repeated appearance frequency requirement; the storage server stores a retrieval result and uploads the result to a publishing server; the publishing server synchronously sends the retrieval result to a cloud server and a publishing terminal. Therefore, quick matching of database content can be achieved by arranging an independent retrieval label. Label association can be achieved, and data retrieval efficiency is promoted. Retrieval word frequency prompt can be achieved, so that the retrieval efficiency is further improved conveniently. Retrieval data can be stored, and data safety is improved.

Description

technical field [0001] The invention relates to a query method, in particular to a fast query method suitable for research and development databases. Background technique [0002] As far as the existing enterprise R&D data collection is concerned, manual methods are often used to search different databases through keywords and logical formulas to obtain relevant resource information. However, this collection method is time-consuming and laborious. After the collection is completed, a second comparison is required manually to filter out the available reference information. For departments or enterprises with a large R&D demand, the human cost investment is relatively large, and the difference in collection will be caused by the difference of personnel. [0003] At the same time, for R&D personnel, it is necessary to query and read the collected data. The existing query method still needs to be searched repeatedly, lacking the necessary keyword matching, and the speed is reve...

AI Technical Summary

Problems solved by technology

However, this collection method is time-consuming and laborious. After the collection is completed, a second comparison is required manually to filter out the available reference information.

For departments or enterprises with a large R&D demand, the human cost investment is relatively large, and the difference in collection will be caused by the difference of personnel.

[0003] At the same time, for R&D personnel, the collected data still needs to be queried and retrieved. The existing query method still needs to be searched repeatedly, lacks the necessary keyword matching, and the speed is revealed.