Open AccessDevelopment of the patent array analysis module based on the “Problem-Solution” model
Author(s) -
O. A. Kochura,
Dmitriy Korobkin,
Sergey Fomenkov,
Sergey 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 - 10.1088/1742-6596/1801/1/012014
Subject(s) - object (grammar) , computer science , attributive , parsing , action (physics) , subject (documents) , information retrieval , artificial intelligence , world wide web , linguistics , philosophy , physics , quantum mechanics
In the modern world, there is a description of many technical solutions in different types. A patent is one of these types. Analysis of the patent array based on the “Problem-Solution” model allows not only to analyze existing technical solutions, but also to improve the characteristics of individual elements of a technical object and, accordingly, the technical object (TO) itself. To do this, you need to detail the structural-functional structure of the TO, i.e. define the elements (components) of TO and the functions of the TO elements. To extract descriptions of functions of a technical object, we use the semantic construction “Subject-Action-Object” (SAO). If “Action” is an attributive verb, such as “reduce”, “improve”, “increase”, etc., then “Subject” can affect “Object” as a problem or need. The SAO structure can be organized in the “problem-solution” format, where the “Object-action” (AO) forms the problem or need, and the “Subject” (S) sets the solution. Structured data will be extracted from natural language text using the Yandex Tomita-parser technology. Then, after all the procedures, it is advisable to fill the database with the information obtained for convenient analysis and search.