Research on high creative application of case-based reasoning system on engineering design

Case-based reasoning (CBR) has shown significant superiority in creative application (innovation) in many areas, especially those strong in practice but poor in theory, such as engineering design. But existing CBR systems have poor semantic understanding, which seriously hampers their creative application. So this paper mainly focuses on the research of case retrieval of CBR system and proposes an intelligent case retrieval method by integrating ontology technology into CBR system. The proposed method has enough semantic understanding ability and can help designers find the desired case, from which designers can gain enlightenment and inspiration for developing new ideas. The work of this research is mainly that adopt the combination of two ontology acquisition means to improve domain knowledge acquisition and propose a new semantic retrieval method to improve semantic understanding of case retrieval. At last a kind of typical engineering design - injection mold design is taken an example to validate the proposed method and Lots of experiments are organized to test the performance and the results show that the proposed approach outperforms existing models.

[1]  Philip Resnik,et al.  Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language , 1999, J. Artif. Intell. Res..

[2]  Jose Manuel Zurita,et al.  Using a CBR Approach Based on Ontologies for Recommendation and Reuse of Knowledge Sharing in Decision Making , 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

[3]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[4]  Hyoung-Joo Kim,et al.  A methodology for constructing of philosophy ontology based on philosophical texts , 2007, Comput. Stand. Interfaces.

[5]  Ziad Kobti,et al.  A Domain Ontology Model for Mould Design Automation , 2010, Canadian Conference on AI.

[6]  C. K. Kwong,et al.  A GA based knowledge discovery system for the design of fluid dispensing processes for electronic packaging , 2010 .

[7]  E. Munoko,et al.  Computers in Industry , 1963, Nature.

[8]  Ted Briscoe,et al.  32nd Annual Meeting of the Association for Computational Linguistics, 27-30 June 1994, New Mexico State University, Las Cruces, New Mexico, USA, Proceedings , 1994, ACL.

[9]  Paul B. Lochert,et al.  A fuzzy logic approach for dealing with qualitative quality characteristics of a process , 2008, Expert Syst. Appl..

[10]  Martha Palmer,et al.  Verb Semantics and Lexical Selection , 1994, ACL.

[11]  Asunción Gómez-Pérez,et al.  METHONTOLOGY: From Ontological Art Towards Ontological Engineering , 1997, AAAI 1997.

[12]  David M. W. Powers,et al.  Measuring Semantic Similarity in the Taxonomy of WordNet , 2005, ACSC.

[13]  Guishi Deng,et al.  The research of applying domain ontology to case-based reasoning system , 2005, Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005..

[14]  N. F. Noy,et al.  Ontology Development 101: A Guide to Creating Your First Ontology , 2001 .

[15]  Michael Gruninger,et al.  Methodology for the Design and Evaluation of Ontologies , 1995, IJCAI 1995.

[16]  Kwai-Sang Chin,et al.  An Interactive Knowledge-Based CAD System For Mould Design in Injection Moulding Processes , 2001 .

[17]  David W. Conrath,et al.  Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy , 1997, ROCLING/IJCLCLP.

[18]  Bo Zhang,et al.  Research on Ontology-Based Case Indexing in CBR , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

[19]  A genetic programming based fuzzy regression approach to modeling manufacturing processes , 2011 .

[20]  Hassan J. Eghbali,et al.  K-S Test for Detecting Changes from Landsat Imagery Data , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[21]  Jie Hu,et al.  Research on CBR system based on data mining , 2011, Appl. Soft Comput..

[22]  Gintaras V. Reklaitis,et al.  Ontological informatics infrastructure for pharmaceutical product development and manufacturing , 2006, Comput. Chem. Eng..

[23]  Dennis McLeod,et al.  Retrieval effectiveness of an ontology-based model for information selection , 2004, The VLDB Journal.

[24]  Chang-Shing Lee,et al.  Ontology-Based Fuzzy-CBR Support System for Ship's Collision Avoidance , 2007, 2007 International Conference on Machine Learning and Cybernetics.

[25]  Mansur J. Darlington,et al.  Investigating ontology development for engineering design support , 2008, Adv. Eng. Informatics.

[26]  Philip Resnik,et al.  Using Information Content to Evaluate Semantic Similarity in a Taxonomy , 1995, IJCAI.

[27]  Pushpak Bhattacharyya,et al.  Using Semantic Information to Improve Case Retrieval in Case-Based Reasoning Systems , 2005 .

[28]  Christiane Fellbaum,et al.  Combining Local Context and Wordnet Similarity for Word Sense Identification , 1998 .

[29]  David McLean,et al.  An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources , 2003, IEEE Trans. Knowl. Data Eng..

[30]  Martin Chodorow,et al.  Combining local context and wordnet similarity for word sense identification , 1998 .

[31]  Sanja Petrovic,et al.  Selecting and weighting features using a genetic algorithm in a case-based reasoning approach to personnel rostering , 2006, Eur. J. Oper. Res..

[32]  Jin Qi,et al.  A case retrieval method combined with similarity measurement and multi-criteria decision making for concurrent design , 2009, Expert Syst. Appl..

[33]  Maria C. Yang,et al.  A PROBABILISTIC APPROACH FOR EXTRACTING DESIGN PREFERENCES FROM DESIGN TEAM DISCUSSION , 2007 .

[34]  C. Kwong,et al.  A genetic programming based fuzzy regression approach to modelling manufacturing processes , 2010 .

[35]  Agnar Aamodt,et al.  CASE-BASED REASONING: FOUNDATIONAL ISSUES, METHODOLOGICAL VARIATIONS, AND SYSTEM APPROACHES AICOM - ARTIFICIAL INTELLIGENCE COMMUNICATIONS , 1994 .

[36]  Christopher K. Riesbeck,et al.  Inside Case-Based Reasoning , 1989 .

[37]  Karthik Ramani,et al.  Ontology-based customer preference modeling for concept generation , 2011, Adv. Eng. Informatics.

[38]  Junzhong Gu,et al.  A New Model of Information Content for Semantic Similarity in WordNet , 2008, 2008 Second International Conference on Future Generation Communication and Networking Symposia.

[39]  Maria C. Yang,et al.  A methodology for engineering ontology acquisition and validation , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[40]  Steffen Staab,et al.  Knowledge Processes and Ontologies , 2001, IEEE Intell. Syst..

[41]  Andrew Y. C. Nee,et al.  Computer-Aided Injection Mold Design and Manufacture , 2004 .

[42]  Asunción Gómez-Pérez,et al.  Building a chemical ontology using Methontology and the Ontology Design Environment , 1999, IEEE Intell. Syst..

[43]  Kit Yan Chan,et al.  A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging , 2009, Expert Syst. Appl..

[44]  Roy Rada,et al.  Development and application of a metric on semantic nets , 1989, IEEE Trans. Syst. Man Cybern..