A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Using JessTab to Integrate Protégé and Jess
IEEE Intelligent Systems
Methodologies, tools and languages for building ontologies: where is their meeting point?
Data & Knowledge Engineering
Value Webs: Using Ontologies to Bundle Real-World Services
IEEE Intelligent Systems
Sentence Similarity Based on Semantic Nets and Corpus Statistics
IEEE Transactions on Knowledge and Data Engineering
Grouping of TRIZ Inventive Principles to facilitate automatic patent classification
Expert Systems with Applications: An International Journal
A substance-field ontology to support the TRIZ thinking approach
International Journal of Computer Applications in Technology
Parameter network as a means for driving problem solving process
International Journal of Computer Applications in Technology
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Use of formal ontologies as a foundation for inventive design studies
Computers in Industry
The development of a modified TRIZ Technical System ontology
Computers in Industry
A formal ontology for a generalized inventive design methodology
Applied Ontology
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With the development of the theory of inventive problem solving (TRIZ), different knowledge sources were established in order to solve different types of inventive problems, such as 40 inventive principles for eliminating the technical contradictions. These knowledge sources with different levels of abstraction are all built independent of the specific application field, and require extensive knowledge about different engineering domains. In order to facilitate the use of the TRIZ knowledge sources, this paper explores a new inventive problem solving approach based on ontologies. In this approach, the TRIZ users start solving an inventive problem with the TRIZ knowledge source of their choice to obtain an abstract solution. According to the selected items of that first knowledge source, the similar items of other knowledge sources are obtained based on the semantic similarity calculated in advance. Considering that all the TRIZ knowledge sources are described as short-texts, the missing links among the TRIZ knowledge sources are defined based on short-text semantic similarity. At the same time, the ontology reasoning mechanism, deployed on Protege and JESS, is used to provide heuristic solutions dynamically for TRIZ users. The case of a ''Space Boiler'' is used to show this ontology-based inventive problem solving process in detail.