Data di Pubblicazione:
2018
Citazione:
(2018). Technical problem identification for supervised state of the art . Retrieved from http://hdl.handle.net/10446/132763
Abstract:
This paper presents a method for extracting technical information from a patent pool. It was designed to support the construction of the state of the art of a technology or a product/process by automatically identifying the list of problems that the inventors have faced. The method is based on a strict ontology, which defines what a patent problem is, and a set of IR strategies, which identify all alternative ways adopted in the pool to describe problems. More in detail, the authors propose a set of syntactic dependency patterns, and lemmas in order to extract only the sentences including the information dealing with problems. The output is a coarse list of technical problems, automatically extracted without the user being an expert in the problems of the sector. An exemplary case dealing with injection molding field is proposed.
Tipologia CRIS:
1.4.01 Contributi in atti di convegno - Conference presentations
Elenco autori:
Russo, Davide; Carrara, Paolo; Facoetti, Giancarlo
Link alla scheda completa:
Titolo del libro:
16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018. Bergamo, Italy, 11–13 June 2018
Pubblicato in: