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Mapping method and device for patent data and industrial data

A mapping method and patented technology, applied in the field of data mapping, can solve the problem of low accuracy of the mapping method

Pending Publication Date: 2018-02-16
中国科学院文献情报中心
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] Embodiments of the present invention provide a mapping method and device for patent data and industrial data, to at least solve the technical problems that the mapping relationship determined by the existing mapping method needs to be manually adjusted, and the accuracy of the mapping method is low

Method used

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  • Mapping method and device for patent data and industrial data
  • Mapping method and device for patent data and industrial data
  • Mapping method and device for patent data and industrial data

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Embodiment 1

[0025] According to an embodiment of the present invention, a method embodiment of a mapping method of patent data and industrial data is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be implemented in a computer system such as a set of computer-executable instructions and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0026] figure 1 is a flowchart of a mapping method between patent data and industry data according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0027] Step S102, obtaining patent data and industry data, wherein the patent data includes: at least one patent category, document data contained in each patent category, and category annotation data for each patent category, and the industry data includes: at least one I...

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Abstract

The invention discloses a mapping method and device for patent data and industrial data. The method comprises the steps that the patent data and the industrial data are acquired, wherein the patent data comprises at least one patent class, literature data contained in each patent class and class annotation data of each patent class, and the industrial data comprises at least one industrial class and class annotation data of each industrial class; a first similarity between the class annotation data of the industrial classes and the literature data contained in the patent classes and a second similarity between the class annotation data of the industrial classes and the class annotation data of the patent classes are calculated; and a mapping relation between the patent data and the industrial data is established according to the first similarity and the second similarity. Through the mapping method and device, the technical problems that a mapping relation determined through an existing mapping method needs to be adjusted manually, and the existing mapping method is low in accuracy are solved.

Description

technical field [0001] The invention relates to the field of data mapping, in particular to a mapping method and device for patent data and industrial data. Background technique [0002] Effective mapping of patents and industry classification systems is an indispensable step in technology transfer and patent intelligence research. At present, there are three main mapping methods between patents and industries: mapping methods based on expert judgment, methods based on cross-retrieval, and methods based on probability calculations. [0003] The mapping method based on expert judgment mainly establishes the corresponding relationship between categories based on the subjective judgment of experts. Although the accuracy rate is high, it is time-consuming and laborious. It relies too much on manual judgment and is not suitable for large-scale data. [0004] The method based on cross-retrieval is mainly to use one classification method to search in the corpus of knowledge organi...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/353
Inventor 赵亚娟田创王学昭吕璐成赵萍
Owner 中国科学院文献情报中心
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