Entity

Time filter

Source Type

Strasbourg, France

Yan W.,LGECO INSA Strasbourg | Zanni-Merk C.,French National Center for Scientific Research | Rousselot F.,French National Center for Scientific Research
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

The formalization of the inventive design process has become an important problem to be solved. Formalizing the inventive design process based on ontologies is a good approach, and using the matching approaches available to solve the specific matching problems in inventive design ontologies is worth to be examined. In fact, there are different knowledge sources used for solving inventive design problems. These sources are about similar notions, but the level of detail of their description is very different. We are interested in the formalisation of these knowledge sources (for the moment described in natural language) and to make the whole body complete and coherent. It is needed, therefore, to make the links among them explicit. It is a typical problem of ontology matching. This article presents a survey of the possible ontology matching approaches for the specific characteristics of this problem. © 2011 Springer-Verlag.


Yan W.,Shandong Normal University | Yan W.,Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology | Liu H.,Shandong Normal University | Liu H.,Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology | And 2 more authors.
Knowledge-Based Systems | Year: 2015

With the development of the Theory of Inventive Problem Solving (TRIZ), different models and knowledge sources were established in order to solve different types of inventive problems. These knowledge sources with different levels of abstraction are all built independently of the specific application field, and require extensive knowledge about different engineering domains. In order to facilitate the use of these TRIZ models and knowledge sources, an intelligent knowledge management system - IngeniousTRIZ was developed in this research. On the one hand, according to the TRIZ knowledge sources ontologies, this system offers to the users the relevant knowledge sources of the model they are building. On the other hand, the system has the ability to fill "automatically" the models of the other knowledge sources. Firstly, the TRIZ user chooses a TRIZ knowledge source to work for an abstract solution. Then, the items of other knowledge sources, which are similar with the selected items of the first knowledge source, are obtained based on semantic similarity calculated in advance. With the help of these similar items and the heuristic physical effects, other concept solutions are generated through ontology inference. In order to show this whole process, the resolution of the case of the "diving fin" in IngeniousTRIZ system is elaborated in detail. © 2014 Elsevier B.V. All rights reserved.


Yan W.,LGECO INSA Strasbourg | Zanni-Merk C.,ICUBE BFO Team | Rousselot F.,Rousselot Consultant | Cavallucci D.,LGECO INSA Strasbourg
International Journal of Knowledge-Based and Intelligent Engineering Systems | Year: 2013

Even if TRIZ is developing increasingly both in research and education, new users always encounter difficulties in their first attempts to practice it. In such situation, Altshuller's original contradiction matrix often appears as an "easy-to-begin-with" tool. However, while not being representative of what TRIZ really is, it continues to seduce new users, teachers and trainers. This article presents an innovative method for facilitating the use of the contradiction matrix, using a semantic similarity approach and case-based reasoning. © 2013-IOS Press and the authors. All rights reserved.


Souili A.,LGECO INSA Strasbourg | Cavallucci D.,LGECO INSA Strasbourg
CIRP Design 2012 - Sustainable Product Development | Year: 2013

This paper presents a new approach for knowledge extraction from patent document for the use of design engineers. It is based on the Inventive Design Method (IDM) which derives from TRIZ, the theory of inventive problem solving whose goal is to theorize on the act of inventing partly on the bases of patent's observation. The purpose of this paper is to demonstrate that it is possible to automatically extract IDM concepts from patent document, using generic linguistic markers. This paper is the continuation of a previous work and mainly focuses on the retrieval of parameters which characterize the main components of contradictions related to an artifact evolution bottlenecks. © Springer-Verlag London 2013.


Yan W.,LGECO INSA Strasbourg | Yan W.,French National Center for Scientific Research | Zanni-Merk C.,French National Center for Scientific Research | Cavallucci D.,LGECO INSA Strasbourg | Collet P.,French National Center for Scientific Research
Engineering Applications of Artificial Intelligence | Year: 2014

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 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 Protégé 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. © 2013 Elsevier Ltd.

Discover hidden collaborations