Intelligent TRIZ

 

Ph.D. student: Wei Yan (LGECO & ICUBE)

Ph.D. thesis: Knowledge Modelling for Inventive Design

Directors: Denis Cavallucci (LGECO), Pierre Collet (ICUBE)

Assistant Supervisor: Cecilia Zanni-Merk (ICUBE)

Resume:

The main objective is the formalization of set of knowledge bases of TRIZ (Theory for Inventive Problem Solving), to make it coherent and complete, by establishing and defining the missing links among them.

With the development of TRIZ, there are different knowledge sources used for solving inventive design problems. These  sources (for the moment they are described in natural language) are about similar notions, but the level of detail of their description is very different. It is needed, therefore, to formalize these knowledge sources and to make the links among them explicit.

Formalizing the inventive design process based on ontologies is a good approach, and using the ontology matching approaches available to solve the specific matching problems in inventive design ontologies is worth to be examined.

This formalization would permit the development of an “intelligent” manager of this knowledge, with the goal to assist the TRIZ expert in his using. The knowledge manager to develop should propose to the expert the use of the relevant knowledge sources according to the level of abstraction of the model which he is building. The manager should also be able to “automatically” fill in the other models, by exploiting the obtained links among the different knowledge bases.

 


The prototype: IntelligentTRIZ

As shown in the following figure, the prototype of "Intelligent TRIZ" is developed with three tasks:

 

Framework of IntelligentTRIZ

 

1. Automatic match between specific parameters and generic engineering parameters based on semantic similarity.

2. The search of heuristic abstract solution based on ontology and ontology reasoning.

3. The search of heuristic physical effects based on ontology and ontology reasoning.

 

The main function of this prototype is shown in the following video.

{youtube}http://www.youtube.com/watch?v=RF1KlWpnZYU|560|315{/youtube}


Publications:

  1. Wei Yan, Cecilia Zanni-Merk, Francois Rousselot, Denis Cavallucci, and Pierre Collet, Facilitating the Resolution of Inventive Problems Using Semantic Relatedness and Ontology Reasoning. InternationalJournal of Knowledge-Based and Intelligent Engineering Systems (KES Journal), 2013, 17:79-96.
  2. Wei Yan, Cecilia Zanni-Merk, Francois Rousselot and Denis Cavallucci, Ontology Matching for Facilitating Inventive Design based on Semantic Similarity and Case-Based Reasoning. InternationalJournal of Knowledge-Based and Intelligent Engineering Systems (KES Journal), 2013.
  3. Wei Yan, Francois Rousselot and Cecilia Zanni-Merk, Component Retrieval Based on Ontology and Graph Patterns Matching. Journal of Information and Computational Science. 2010, Vol 7(4): 893-900. 
  4. Wei Yan, Cecilia Zanni-Merk, François Rousselot, Denis Cavallucci and Pierre Collet, A New Method of Using Physical Effects in Su-Field Analysis based on Ontology Reasoning. 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2013), Kitakyushu, Japan.
  5. Wei Yan, Cecilia Zanni-Merk, François Rousselot, Denis Cavallucci and Pierre Collet, Ontology-based Knowledge Modeling for Using Physical Effects. TRIZ Future 2013, Paris, France.
  6. Wei Yan, Cecilia Zanni-Merk, François Rousselot, Denis Cavallucci and Pierre Collet, A Heuristic TRIZ Problem Solving Approach based on Semantic Relatedness and Ontology Reasoning. 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2012), San Sebastian, Spain.
  7. Wei Yan, Cecilia Zanni-Merk, François Rousselot, Denis Cavallucci and Pierre Collet, A Heuristic Method of Using the Pointers to Physical Effects in Su-Field Analysis. TRIZ Future 2012, Lisbon, Portugal.
  8. Wei Yan, Cecilia Zanni-Merk, Francois Rousselot, Denis Cavallucci, and Pierre Collet, Heuristic Inventive Design Problem Solving based on Semantic Relatedness. International Conference on Frontiers of Mechanical Engineering, Materials and Energy (ICFMEME2012) (The paper will be published in Advanced Materials Research).
  9. Wei Yan, Cecilia Zanni-Merk and Francois Rousselot, Matching of Different Abstraction Level Knowledge Sources: The Case of Inventive Design. 15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2011), Germany, Part IV, LNAI 6884, pp. 445-454, 2011.
  10. Wei Yan, Cecilia Zanni-Merk and Francois Rousselot, Skyline Adaptive Fuzzy Query. 15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2011), Germany, Part II, LNAI 6882, pp. 345-354, 2011.
  11. Wei Yan, Cecilia Zanni-Merk and Francois Rousselot, An Application of Semantic Distance between Short Texts to Inventive Design. International Conference on Knowledge Engineering and Ontology Development (KEOD2011), France, Paris, pp. 261-266.
  12. Wei Yan, Cecilia Zanni-Merk, François Rousselot and Denis Cavallucci, A Method of Facilitating Inventive Design Based on Semantic Similarity and Case-Based Reasoning. TRIZ Future 2011, Dublin, Ireland.

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