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A Similarity-based Model for Mapping Between Patent and Industrial Classifications——Mapping Between the International Patent Classification and the Industrial Classification for National Economic Activities
Received date: 2016-08-10
Revised date: 2016-10-05
Online published: 2016-10-20
[Purpose/significance] This paper aims to propose a model based on the similarity for mapping between patents and industries and provide some references for the further research. This model is accurate, scalable and efficient. [Method/process] After introducing the methods for mapping between patent and industrial classifications, the authors described and explored the model. They completed the mapping of the International Patent Classification and the Industrial Classification for National Economic Activities partly and processed cosine similarity results by the Z-score normalization method. Then, the authors evaluated this model according to the trial version results of SIPO. [Result/conclusion] This model takes the advantage of the official annotation of patent classification and the descriptive content of patents and gets the mapping results between patents and industrial classifications automatically by the natural language processing technology. Compared with the existing methods, the method saves a lot of labor costs while ensuring the accuracy. This model can easily adjust the fine-grained classification and be applied to most of mapping between patents and industrial classifications. Finally, the improvement of the model is described. Some future application areas are also briefly discussed in this paper.
Tian Chuang , Zhao Yajuan . A Similarity-based Model for Mapping Between Patent and Industrial Classifications——Mapping Between the International Patent Classification and the Industrial Classification for National Economic Activities[J]. Library and Information Service, 2016 , 60(20) : 123 -131 . DOI: 10.13266/j.issn.0252-3116.2016.20.015
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