Ontology-based Design Knowledge Modeling for Product Retrieval

Nowadays, computer-aided tools have enabled the creation of electronic design documents on an unprecedented scale, while determining and finding what can be reused for a new design is like searching for a 'needle in a haystack.' For example, as reported by Marsh, there are approximately 40,000 documents produced in the design of a single engine in an aerospace company. The availability of such extensive knowledge resources is creating new challenges as well as opportunities for research on how to retrieve and reuse the knowledge from existing designs.

[1]  Jeremy Busby.  The Problem with Design Reuse: An Investigation into Outcomes and Antecedents , 1999 .

[2]  Sergei Nirenburg,et al.  Book Review: Ontological Semantics, by Sergei Nirenburg and Victor Raskin , 2004, CL.

[3]  Ken M. Wallace,et al.  A web broker for component retrieval in mechanical engineering , 2000 .

[4]  Alex. B. W. Kennedy,et al.  The Kinematics of Machinery: Outlines of a Theory of Machines , 2006 .

[5]  Vladimir Hubka,et al.  Theory of Technical Systems , 1988 .

[6]  Scott Huston Mullins.  Constraint management in mechanical assembly modeling , 1996 .

[7]  M. S Hundal,et al.  A systematic method for developing function structures, solutions and concept variants , 1990 .

[8]  G. S. Alʹtshuller,et al.  The Innovation Algorithm:TRIZ, systematic innovation and technical creativity , 1999 .

[9]  Johan Malmqvist,et al.  Product data management system-based support for engineering project management , 2004 .

[10]  Ken M. Wallace,et al.  The relationship between data, information and knowledge based on a preliminary study of engineering designers , 1999 .

[11]  S. Rude,et al.  Supporting early phase of mechatronic product design with layered function models , 1999, ISIE '99. Proceedings of the IEEE International Symposium on Industrial Electronics (Cat. No.99TH8465).

[12]  Ram D. Sriram,et al.  The Role of Knowledge in Next-generation Product Development Systems , 2001, J. Comput. Inf. Sci. Eng..

[13]  Amaresh Chakrabarti,et al.  An approach to functional synthesis of solutions in mechanical conceptual design. Part I: Introduction and knowledge representation , 1994 .

[14]  Tetsuo Tomiyama,et al.  Supporting conceptual design based on the function-behavior-state modeler , 1996, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[15]  Dennis Rock,et al.  Product Data Management Systems: State-Of-The-Art And The Future , 1997 .

[16]  Karthik Ramani,et al.  SVM-based Semantic Clustering and Retrieval of a 3D Model Database , 2005 .

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

[18]  Andrés Gómez de Silva Garza,et al.  Case-Based Reasoning in Design , 1995, IEEE Expert.

[19]  Ashok K. Goel,et al.  Functional representation as design rationale , 1993, Computer.

[20]  Glen Mullineux,et al.  A framework for the requirements of capturing, storing and reusing information and knowledge in engineering design , 2002, Int. J. Inf. Manag..

[21]  H. A. Rothbart,et al.  Mechanical Design and Systems Handbook , 1964 .

[22]  Kristin L. Wood,et al.  Development of a Functional Basis for Design , 2000 .

[23]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[24]  John Richard Marsh,et al.  The capture and utilisation of experience in engineering design , 1997 .

[25]  Y.-M. Deng,et al.  Abstracting and Exploring Functional Design Information for Conceptual Mechanical Product Design , 2000, Engineering with Computers.

[26]  I. I. Artobolevskiĭ.  Mechanisms in modern engineering design , 1975 .

[27]  John S. Gero,et al.  Design Prototypes: A Knowledge Representation Schema for Design , 1990, AI Mag..

[28]  David G. Ullman,et al.  The information requests of mechanical design engineers , 1991 .

[29]  Jihie Kim,et al.  Knowledge-rich catalog services for engineering design , 2003, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[30]  Karthik Ramani,et al.  Three-dimensional shape searching: state-of-the-art review and future trends , 2005, Comput. Aided Des..

[31]  Neal P. Juster,et al.  A functional approach to redesign , 1994, Engineering with Computers.

[32]  Nicola Guarino,et al.  OntoSeek: content-based access to the Web , 1999, IEEE Intell. Syst..

[33]  Karthik Ramani,et al.  REVIEW OF PRODUCT INFORMATION RETRIEVAL: REPRESENTATION AND INDEXING , 2004 .

[34]  Riichiro Mizoguchi,et al.  Ontology-based systematization of functional knowledge , 2004 .

[35]  Mark R. Cutkosky,et al.  Working With Multiple Representations in a Concurrent Design System , 1992 .

[36]  Andrew Gelsey.  Automated Reasoning About Machines , 1995, Artif. Intell..

[37]  Murray Shanahan,et al.  Default Reasoning about Spatial Occupancy , 1995, Artif. Intell..

[38]  Ade Mabogunje,et al.  An Experimental Study of Design Information Reuse , 1996 .

[39]  Leo Joskowicz,et al.  Computational Kinematics , 1991, Artif. Intell..

[40]  Dieter Fensel,et al.  Knowledge Engineering: Principles and Methods , 1998, Data Knowl. Eng..

[41]  Ram D. Sriram,et al.  Design Repositories: Engineering Design's New Knowledge Base , 2000, IEEE Intell. Syst..

[42]  J. A. Collins,et al.  The Failure-Experience Matrix—A Useful Design Tool , 1976 .

[43]  Debasish Dutta,et al.  Feature Based Shape Similarity Measurement for Retrieval of Mechanical Parts , 2001, J. Comput. Inf. Sci. Eng..

[44]  Saeema Ahmed,et al.  Indexing design knowledge based upon descriptions of design processes , 2003 .

[45]  Mark Henderson,et al.  Computer recognition and extraction of form features: A CAD/CAM link , 1984 .