Technical digital asset query method

Abstract

The invention discloses a technical digital asset query method, and the method comprises the steps: obtaining a query request, a target technical scheme set A corresponding to a corresponding target digital asset technical description file, and a technical scheme subset B corresponding to all technical points of each digital asset data packet in a to-be-detected digital asset data packet set; andcalculating to obtain a similarity index of the to-be-detected digital asset data packet set and the to-be-detected digital asset data packet set, further sorting data packets in the to-be-detected digital asset data packet set according to the similarity index, and outputting the sorted data packets, thereby easily obtaining a digital asset data packet closest to own requirements. The present application enables queries of technical systems in a set of technical systems, which may include any complex technology in different directions or fields.

Description

technical field [0001] This application relates to the field of Internet data processing, in particular to a query method for technical digital assets. Background technique [0002] In the digital asset financial trading center, the digital assets that can be traded, that is, the certified digital assets will be stored in the digital asset registration platform of the trading center, and the digital asset registration platform will manage and manage the digital asset information before or after the transaction. Use, such as sharing information with other data platforms, querying or verifying digital assets stored on the platform upon request, etc. [0003] Digital assets are usually digital assets with the core of intellectual achievements such as intellectual property rights, mainly including technical, design and expression digital assets, technical digital assets such as patent digital assets, and design digital assets such as copyright or appearance Digital assets, expr...

AI Technical Summary

Problems solved by technology

Obviously, this method of using keywords as query clues is not only inefficient, but also cannot be applied to patent digital assets with hundreds of patent collections as the overall query object. Moreover, the patent collection includes the number of patents, patent types, There are uncertainties in many aspects such as content

In addition, there is also a semantic-based digital file similarity query method, which is suitable for the similarity query of two determined texts. For the query of the data package as the object, the semantic-based digital file query method is still not applicable or cannot be used for the query of the patent digital asset data package

In addition, if the technical digital asset entity is used as the operation object, it will also lead to the problem of reduced query efficiency and excessive resource occupation

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