Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
WWW: Past, Present, and Future
Computer
Grouping of TRIZ Inventive Principles to facilitate automatic patent classification
Expert Systems with Applications: An International Journal
An ontological basis for computer aided innovation
Computers in Industry
Study on Innovative Method Based on Integrated of TRIZ and DMAIC
ICIII '09 Proceedings of the 2009 International Conference on Information Management, Innovation Management and Industrial Engineering - Volume 01
Enterprise Research and Development Strategy Based on TRIZ Evolution Theory
MVHI '10 Proceedings of the 2010 International Conference on Machine Vision and Human-machine Interface
Use of formal ontologies as a foundation for inventive design studies
Computers in Industry
Identifying candidates for design-by-analogy
Computers in Industry
A research agenda for computing developments associated with innovation pipelines
Computers in Industry
An automated method for identifying TRIZ evolution trends from patents
Expert Systems with Applications: An International Journal
An ontology-based approach for inventive problem solving
Engineering Applications of Artificial Intelligence
| Hi-index | 0.00 |
This paper considers the development of a TRIZ Technical System ontology with the aim of facilitating the indexing of knowledge contained within available resources in a way that will make it accessible and useful to a user undertaking a design engineering task. The function of the developed ontology is evaluated using a case study, in which a patent is classified using the defined scheme. The quantitative nature of the classification structure developed to support this procedure offers a mechanism that may be further developed and integrated into research aiming to support the computerisation of the knowledge elicitation and representation process. The ontology developed to enable the classification methodology will support the integration of design by analogy procedures and enable effective information retrieval via the TRIZ based approach.