Open AccessSemantic patent analysis with Amazon Web Services
Author(s) -
A Manukyan,
Dmitriy Korobkin,
С. А. Фоменков,
S Kolesnikov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2060/1/012025
Subject(s) - key (lock) , computer science , cluster analysis , patent visualisation , patent analysis , automation , data science , information retrieval , semantic web , world wide web , data mining , artificial intelligence , engineering , mechanical engineering , computer security
Semantic analysis of the patent array allows us to solve several modern problems: (1) Clustering of the patent array. This information can be useful for identifying patent trends, key modern technologies, and predicting the demand for technologies in the future period; (2) Automation of the work of the patent office expert. Based on a full-text query (the text of a patent application), a search for analogous patents can be performed. This study describes a developed software that provides the possibility of clustering the patent array (topic modeling), identifying groups of related patents (not based on patent classification but on the basis of key terms/phrases extracted from the texts), and a search for patents using AWS technologies.