Heuristic Inventive Design Problem Solving Based on Semantic Relatedness

Abstract:

A growing number of industries feel the need of formalizing their innovation approaches. Modern innovation theories and methods use different knowledge sources for solving inventive design problems. These sources are generally about similar notions, but the level of detail of their description can be very different. We are interested in finding semantic links among these sources and developing an intelligent way of managing this knowledge, with the goal of assisting the inventive design expert during his activities. This paper explores a short text semantic similarity approach to search potential links among these sources. These links available could facilitate the retrieval for the heuristic solutions of inventive problems for TRIZ users.

• Periodical: Advanced Materials Research (Volumes 875-877)
• Pages: 968-972
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.875-877.968
• Online since: February 2014
• Authors: Wei Yan, Cecilia Zanni-Merk, François Rousselot, Denis Cavallucci, Pierre Collet
• Keywords: Inventive Design, Knowledge Source, Semantic Relatedness, TRIZ, Wordnet

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DOI: 10.1108/eb026526