Word trademark registration possibility judgment method and device based on big data

Abstract

The invention relates to a word trademark registration possibility judgment method based on big data. The method is applied to a server and comprises the steps that S101, to-be-registered word trademark information sent by a user terminal is received; S102, according to the received word trademark information, a classification group of commodities or services which a to-be-registered trademark belongs to is determined; S103, previous word trademarks and relevant information thereof existing in the classification group are searched for in a database; and S104, whether the to-be-registered trademark is identical or similar to the previous word trademarks is judged, a corresponding registration suggestion is given according to the judgment result, and a report is generated and output to the user terminal. According to the method, a big data algorithm is adopted to perform retrieval analysis on the to-be-registered trademark, missing inspection is not prone to occurrence, the analysis result is objective, the success rate of enterprise trademark registration can be greatly increased, the cost of enterprise trademark registration is saved, and the method has high reference value.

Description

technical field [0001] The invention relates to the field of enterprise intellectual property management systems, in particular to a method and device for judging the registrability of word trademarks based on big data. Background technique [0002] Due to the long review period of trademark registration and the high uncertainty of review results, enterprises expect to improve the accuracy of trademark registration success in order to save registration costs and losses caused by uncertain results. However, at present, the search and judgment before trademark registration are mainly done manually, which is not only incomplete, but also highly subjective. Contents of the invention [0003] In view of this, it is necessary to provide a method for judging the registrability of word trademarks based on big data. It uses big data algorithms to search and analyze the trademarks to be registered, which is not easy to miss, and the analysis results are more objective, which can gr...

AI Technical Summary

Problems solved by technology

[0002] Due to the long review period of trademark registration and the high uncertainty of review results, enterprises expect to improve the accuracy of trademark registration success, so as to save registration costs and losses caused by uncertain results.

However, at present, the search and judgment before trademark registration are mainly manual, which is not only incomplete, but also highly subjective

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