Automated Extraction of Knowledge Useful to Populate Inventive Design Ontology from Patents

Achille Souili (1) , Denis Cavallucci (2)

1 LGeco - Laboratoire de Génie de la Conception
2 ICube - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie

This chapter proposes an approach to extract and manage knowledge from patent documents for use by design engineers within the framework of the inventive design method (IDM). IDM is an extension of TRIZ, the theory of inventive problem solving, and is meant for complex situations. It uses generic linguistic markers to locate and extract IDM-related knowledge, such as problems, partial solutions, and parameters, to automatically populate IDM ontology.

Mots clés: Automated Extraction; Inventive Design Ontology

Domaines: Autre

Achille Souili, Denis Cavallucci. Automated Extraction of Knowledge Useful to Populate Inventive Design Ontology from Patents. TRIZ – The Theory of Inventive Problem Solving, Springer, pp.43-62, 2017, 978-3-319-56593-4. ⟨10.1007/978-3-319-56593-4_2⟩. ⟨hal-02401361⟩