Joint retrieval method and device for multi-theme intellectual property data

Abstract

The invention discloses a joint retrieval method and device for multi-theme intellectual property data. The method comprises the following steps: acquiring an intellectual property field to be retrieved; extracting keywords of a plurality of theme types from the intellectual property field; searching the keyword of each theme type in a pre-established multi-type theme database to obtain a retrieval result of an intellectual property theme range corresponding to the keyword of each theme type, wherein the multi-type theme database comprises intellectual property data of a plurality of theme ranges, the intellectual property data of each theme range comprises intellectual property data of a plurality of levels, and the intellectual property data of each level comprises intellectual property sub-data of a plurality of types; and fusing the retrieval results of the intellectual property theme ranges corresponding to all the theme type keywords to obtain a joint retrieval result of the multi-theme intellectual property data. The joint retrieval method and device can efficiently and accurately perform joint retrieval of the multi-subject intellectual property data.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a method and device for joint retrieval of multi-subject intellectual property data. Background technique [0002] This section is intended to provide a background or context to embodiments of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] In the existing technology, patent search and trademark search are all based on their own separate databases. If users want to know intellectual property information involving multiple aspects, they need to query in different databases separately, and then use third-party tools Integrating the results, the retrieval efficiency is low and inaccurate. For example, if a user wants to know "the intellectual property data of the automobile industry in Guangdong Province in the past three years", they need to search in multiple databases such as patents...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, patent search and trademark search are all based on their own separate databases. If users want to know intellectual property information involving multiple aspects, they need to query in different databases separately, and then use third-party tools Integrate the results, the retrieval efficiency is low and inaccurate

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