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

  • Davide Russo
  • Pierre-Emmanuel FayemiEmail author
  • Matteo Spreafico
  • Giacomo Bersano
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 541)

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.

Keywords

Biomimetics Biomimicry software Triz Syntactic parser 

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Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  • Davide Russo
    • 1
  • Pierre-Emmanuel Fayemi
    • 2
    Email author
  • Matteo Spreafico
    • 1
  • Giacomo Bersano
    • 2
  1. 1.Bergamo UniversityDalmineItaly
  2. 2.IKOS ConsultingLevallois-PerretFrance

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