Skip to Main content Skip to Navigation
Conference papers

Design Entity Recognition for Bio-inspired Design Supervised State of the Art

Abstract : 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.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/hal-02279772
Contributor : Hal Ifip <>
Submitted on : Thursday, September 5, 2019 - 3:17:06 PM
Last modification on : Thursday, September 5, 2019 - 3:55:45 PM
Long-term archiving on: : Thursday, February 6, 2020 - 3:54:59 AM

File

474537_1_En_1_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Davide Russo, Pierre-Emmanuel Fayemi, Matteo Spreafico, Giacomo Bersano. Design Entity Recognition for Bio-inspired Design Supervised State of the Art. 18th TRIZ Future Conference (TFC), Oct 2018, Strasbourg, France. pp.3-13, ⟨10.1007/978-3-030-02456-7_1⟩. ⟨hal-02279772⟩

Share

Metrics

Record views

53

Files downloads

18