Design entity recognition for bio-inspired design supervised state of the art
| Autor: | Giacomo Bersano, Pierre-Emmanuel Fayemi, Davide Russo, Matteo Spreafico |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Identification methods
0209 industrial biotechnology Dependency (UML) Information Systems and Management Computer science Computer Networks and Communications 02 engineering and technology Syntactic parser computer.software_genre Machine learning 01 natural sciences 020901 industrial engineering & automation Software Biomimetics Settore ING-IND/15 - Disegno e Metodi dell'Ingegneria Industriale 0103 physical sciences Biomimicry software 010301 acoustics Previous generation Triz Parsing business.industry Information Systems Syntax Identification (information) Artificial intelligence State (computer science) business computer |
| Zdroj: | IFIP Advances in Information and Communication Technology ISBN: 9783030024550 TFC |
| Popis: | In the last years the efforts spent for the enhancement of parsing engines led to several software more performant, in terms of both effectiveness in identification of syntax modules and speed of elaboration of the text, than the previous generation ones. Exploiting the benefits coming from such a new generation of software, nowadays the patent search can overcome the limits due to the classic FOS approach and performs it in a quasi-real-time way. This paper focuses on technical-problems identification methods based on syntactic dependency patterns, for ameliorating supervised state of the art and patent intelligence. Through parsing the patent text, very precise lists of technical problems are automatically extracted without the user being an expert in the problems of the sector. An exemplary case dealing with bio-inspired design is proposed, stressing what types of engineering problems are nowadays benefitting the most from the approach. |
| Databáze: | OpenAIRE |
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