Computational approaches to analogical reasoning: a comparative analysis
Artificial Intelligence
Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Unified Modeling Language Reference Manual, The (2nd Edition)
Unified Modeling Language Reference Manual, The (2nd Edition)
Handbook on Ontologies (International Handbooks on Information Systems)
Handbook on Ontologies (International Handbooks on Information Systems)
A framework for OTSM TRIZ-based computer support to be used in complex problem management
International Journal of Computer Applications in Technology
A model for problem representation at various generic levels to assist inventive design
International Journal of Computer Applications in Technology
A substance-field ontology to support the TRIZ thinking approach
International Journal of Computer Applications in Technology
Web Semantics: Science, Services and Agents on the World Wide Web
An ontological basis for computer aided innovation
Computers in Industry
Eurisko: A program that learns new heuristics and domain concepts
Artificial Intelligence
A Hybrid System Combining Description Logics and Rules for Inventive Design
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
Improved knowledge management through first-order logic in engineering design ontologies
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Use of formal ontologies as a foundation for inventive design studies
Computers in Industry
Applied Ontology - The Ontology of Functions
An ontology-based approach for inventive problem solving
Engineering Applications of Artificial Intelligence
Hi-index | 0.00 |
TRIZ the Russian acronym for Theory of Resolution of Inventive Problems is a methodology to guide the search for inventive solutions to one, or a few, difficult problems. Classic TRIZ is not well suited to the examination of complex situations composed of many problems, sub-problems and partial solutions, strongly interconnected. It has therefore been completed to give birth, among others, to the Inventive Design Methodology IDM framework.TRIZ and IDM share many similarities with Artificial Intelligence methods: they both propose to solve a problem by reformulation in an abstract model. Generic solving patterns are applied to this abstract model to produce abstract solutions. The domain-specific knowledge is then used to get the final solution concept. However, neither TRIZ nor IDM's descriptions are formal enough to permit a reliable software implementation and rely mainly on the experts' manual work. Therefore this paper proposes an ontological formalization of TRIZ and IDM to overcome these difficulties and allow the development of software tools to assist TRIZ/IDM experts in their work.