Ontology matching for facilitating inventive design based on semantic similarity and case-based reasoning

Article type: Research Article

Authors: Yan, Wei^{a; b; *} | Zanni-Merk, Cecilia^b | Rousselot, Francois^c | Cavallucci, Denis^a

Affiliations: [a] LGECO/INSA Strasbourg, Strasbourg Cedex, France | [b] ICUBE/BFO Team, Illkirch Cedex, France | [c] Rousselot, Illkirch, France

Correspondence: [*] Corresponding author: Wei Yan, LGECO/INSA Strasbourg, 24 Boulevard de la Victoire, 67084 Strasbourg Cedex, France. E-mail: [email protected]

Abstract: Even if TRIZ is developing increasingly both in research and education, new users always encounter difficulties in their first attempts to practice it. In such situation, Altshuller's original contradiction matrix often appears as an "easy-to-begin-with" tool. However, while not being representative of what TRIZ really is, it continues to seduce new users, teachers and trainers. This article presents an innovative method for facilitating the use of the contradiction matrix, using a semantic similarity approach and case-based reasoning.

Keywords: Inventive design, ontology matching, semantic similarity, WordNet, case-based reasoning

DOI: 10.3233/KES-130273

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 17, no. 3, pp. 243-256, 2013