A heuristic TRIZ problem solving approach based on semantic relatedness and ontology reasoning

Abstract

The theory of inventive problem solving (TRIZ) was developed to solve inventive problems in different industrial fields. In recent decades, modern innovation theories and methods proposed several different knowledge sources, whose use requires extensive knowledge about different engineering domains. In order to facilitate the use of the TRIZ knowledge sources, this paper explores a heuristic TRIZ problem solving approach. Firstly, TRIZ users start solving inventive problem with the TRIZ knowledge source of their choice. Then other similar knowledge sources are used according to a calculation of semantic relatedness. Finally, heuristic solutions are returned by ontology reasoning on the knowledge sources. The case of a “Diving Fin” is used to show the heuristic TRIZ problem solving process in detail.

BibTeX

@article{yan:hal-05473291,
  TITLE = {{A heuristic TRIZ problem solving approach based on semantic relatedness and ontology reasoning}},
  AUTHOR = {Yan, Wei and Rousselot, Fran{\c c}ois and Cavallucci, Denis and Collet, Pierre and Zanni-Merk, Cecilia},
  URL = {https://univoak.hal.science/hal-05473291},
  JOURNAL = {{Frontiers in Artificial Intelligence and Applications}},
  PUBLISHER = {{IOS Press}},
  VOLUME = {Volume 243: Advances in Knowledge-Based and Intelligent Information and Engineering Systems},
  PAGES = {1563-1572},
  YEAR = {2012},
  DOI = {10.3233/978-1-61499-105-2-1563},
  KEYWORDS = {TRIZ ; ontology reasoning},
  HAL_ID = {hal-05473291},
  HAL_VERSION = {v1},
}