A design rationale representation model using patent documents

Design rationale (DR) refers to the explanation of why an artifact is designed the way it is. The management of DR in engineering design is an important task since DR is often regarded as crucial information in design decision support, design analysis and design knowledge management. The existing DR systems largely target at manually capturing DRs along design activities. These systems are not only weak in revealing the internal relationships of design components, but also time consuming and they can not extract DR from archival design documents which are usually unstructured or semi-structured texts, such as design changes and test reports. Furthermore, the lack of open accessible DR data has limited the research and spreading of DR systems. In view of such challenges, it has motivated us to propose a new DR model to intelligently discover DR from patent documents since patents are deemed as quality data sources open for public access and they contain rich information about DR, invention details, technology development and so on. Our approach of DR discovery from patents consists of two stages. In the first stage, we propose a novel triple layer DR representation model, i.e. issue layer, design solution layer and artifact layer, to mine DR in a single patent document. The second stage aims to form a DR network based on the salient patent information that is discovered and explicitly represented in the first stage. We then exemplify our representation model using a case study of patents of inkjet printer. Lastly, we briefly discuss some potential applications by taking advantage of our representation model, such as DR reasoning and technology development trend mining.

[1]  Kuei-Kuei Lai,et al.  Using the patent co-citation approach to establish a new patent classification system , 2005, Inf. Process. Manag..

[2]  Yuen-Hsien Tseng,et al.  Text mining techniques for patent analysis , 2007, Inf. Process. Manag..

[3]  Adriana Pereira de Medeiros,et al.  Kuaba approach: Integrating formal semantics and design rationale representation to support design reuse , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[4]  Andrew Dillon,et al.  Design rationale: Concepts, techniques, and use , 1997 .

[5]  Yiannis Kompatsiaris,et al.  Towards content-oriented patent document processing , 2008 .

[6]  Kuntz Werner,et al.  Issues as Elements of Information Systems , 1970 .

[7]  William C. Regli,et al.  A Survey of Design Rationale Systems: Approaches, Representation, Capture and Retrieval , 2000, Engineering with Computers.

[8]  Chao-Fu Hong,et al.  Extracting the significant-rare keywords for patent analysis , 2009, Expert Syst. Appl..

[9]  Kalina Bontcheva,et al.  Large-scale, parallel automatic patent annotation , 2008, PaIR '08.

[10]  Ann E. Nicholson,et al.  Using Bayesian belief networks for change impact analysis in architecture design , 2007, J. Syst. Softw..

[11]  Michael E. Atwood,et al.  Effective Design Rationale: Understanding the Barriers , 2006 .

[12]  Tetsuya Nasukawa,et al.  Text analysis and knowledge mining system , 2001, IBM Syst. J..

[13]  Duen-Ren Liu,et al.  Mining Changes in Patent Trends for Competitive Intelligence , 2008, PAKDD.

[14]  Amy J. C. Trappey,et al.  Development of a patent document classification and search platform using a back-propagation network , 2006, Expert Syst. Appl..

[15]  Jintae Lee The 1992 Workshop on Design Rationale Capture and Use , 1993, AI Mag..

[16]  Jintae Lee,et al.  Design Rationale Systems: Understanding the Issues , 1997, IEEE Expert.

[17]  J. E. Fowler Variant design for mechanical artifacts: A state-of-the-art survey , 2005, Engineering with Computers.

[18]  Antony Tang,et al.  A rationale-based architecture model for design traceability and reasoning , 2007, J. Syst. Softw..

[19]  Kazuya Konishi,et al.  Invalidity Patent Search System of NTT DATA , 2004, NTCIR.

[20]  David Hunt,et al.  Patent searching : tools & techniques , 2007 .

[21]  Richard M. Young,et al.  Options and Criteria: Elements of design space analysis , 1991 .

[22]  Key-Sun Choi,et al.  Patent document categorization based on semantic structural information , 2007, Inf. Process. Manag..

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

[24]  Leah S. Larkey,et al.  A patent search and classification system , 1999, DL '99.

[25]  David C. Brown,et al.  Software Engineering Using RATionale , 2008, J. Syst. Softw..

[26]  Jungi Kim,et al.  Cluster-based patent retrieval , 2007, Inf. Process. Manag..

[27]  Rob H. Bracewell,et al.  A Framework for Design Rationale Retrieval , 2005 .

[28]  Raymond McCall PHI : A Conceptual Foundation For Design Hypermedia , 1990 .

[29]  Rada Mihalcea,et al.  TextRank: Bringing Order into Text , 2004, EMNLP.

[30]  Rob H. Bracewell,et al.  Capturing design rationale , 2009, Comput. Aided Des..

[31]  Maarten Sierhuis,et al.  Hypermedia Support for Argumentation-Based Rationale , 2006 .

[32]  Thomas P. Moran,et al.  Questions, Options, and Criteria: Elements of Design Space Analysis , 1991, Hum. Comput. Interact..