Yan Liang
ABSTRACT
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.
- A Guide to Filing A Non-Provisional (Utility) Patent Application.Google Scholar
- M. Agatonovic, N. Aswani, K. Bontcheva, H. Cunningham, T. Heitz, Y. Li, I. Roberts and V. Tablan. Large-scale, parallel automatic patent annotation Proceeding of the 1st ACM workshop on Patent information retrieval, ACM, Napa Valley, California, USA, 2008. Google ScholarDigital Library
- M. Allan, M.Y. Richard, M.E.B. Victoria and P.M. Thomas. Questions, options, and criteria: elements of design space analysis. Hum.-Comput. Interact., 6 (3): 201--250, 1991. Google ScholarDigital Library
- R. Bracewell, K. Wallace, M. Moss and D. Knott. Capturing design rationale. Comput. Aided Des., 41 (3): 173--186, 2009. Google ScholarDigital Library
- J.E. Burge and D.C. Brown. Software Engineering Using RATionale. J. Syst. Softw., 81 (3): 395--413, 2008. Google ScholarDigital Library
- B. Chandrasekaran, A.K. Goel and Y. Iwasaki. Functional Representation as Design Rationale. Computer, 26 (1): 48--56, 1993. Google ScholarDigital Library
- A.P. de Medeiros and D. Schwabe. Kuaba approach: Integrating formal semantics and design rationale representation to support design reuse. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 22 (Special Issue 04): 399--419, 2008. Google ScholarDigital Library
- A. Dillon. Design rationale: Concepts, techniques, and use - Moran,TP, Carroll,JN. Journal of the American Society for Information Science, 48 (8): 762--763, 1997.Google ScholarCross Ref
- J.E. Fowler. Variant design for mechanical artifacts: A state-of-the-art survey. Engineering with Computers, 12 (1): 1--15, 1996.Google ScholarCross Ref
- J. Horner and M. Atwood. Effective Design Rationale: Understanding the Barriers. in Rationale Management in Software Engineering, 2006, 73--90.Google Scholar
- D. Hunt, L. Nguyen and M. Rodegers. Patent Searching: Tools&Techniques. Wiley, 2007.Google Scholar
- I.-S. Kang, S.-H. Na, J. Kim and J.-H. Lee. Cluster-based patent retrieval. Inf. Process. Manage., 43 (5): 1173--1182, 2007. Google ScholarDigital Library
- J.-H. Kim and K.-S. Choi. Patent document categorization based on semantic structural information. Inf. Process. Manage., 43 (5): 1200--1215, 2007. Google ScholarDigital Library
- S. Kim, R.H. Bracewell and K.M. Wallace, A Framework for Design Ratioanle Retrieval. in Internatioanl conference on engineering design, (Melbourne, 2005).Google Scholar
- K. Konishi, A. Kitauchi and T. Takaki, Invalidity patent search system of NTT data. in In Working notes of the fourth NTCIR workshop meeting, (2004), 250--255.Google Scholar
- W. Kunz and H. Rittel. Issues as Elements of Information Systems. Center for Planning and Development Research, University of California at Berkeley, 1970.Google Scholar
- K.-K. Lai and S.-J. Wu. Using the patent co-citation approach to establish a new patent classification system. Inf. Process. Manage., 41 (2): 313--330, 2005. Google ScholarDigital Library
- L.S. Larkey. A patent search and classification system Proceedings of the fourth ACM conference on Digital libraries, ACM, Berkeley, California, United States, 1999. Google ScholarDigital Library
- J. Lee. The 1992 Workshop on Design Rationale Capture and Use. Ai Magazine, 14 (2): 24--26, 1993.Google Scholar
- J.T. Lee. Design, rationale systems: Understanding the issues. Ieee Expert-Intelligent Systems&Their Applications, 12 (3): 78--85, 1997. Google ScholarDigital Library
- Y.-R. Li, L.-H. Wang and C.-F. Hong. Extracting the significant-rare keywords for patent analysis. Expert Syst. Appl., 36 (3): 5200--5204, 2009. Google ScholarDigital Library
- R.J. McCall. PHI: A Conceptual Foundation for Design Hypermedia. Design Studies, 12 (1): 30--41, 1991.Google ScholarCross Ref
- R. Mihalcea and P. Tarau, TextRank: Bringing Order into Texts. in Conference on Empirical Methods in Natural Language Processing, (2004).Google Scholar
- T. Nasukawa and T. Nagano. Text analysis and knowledge mining system. Ibm Systems Journal, 40 (4): 967--984, 2001. Google ScholarDigital Library
- W.C. Regli, X. Hu, M. Atwood and W. Sun. A Survey of Design Rationale Systems: Approaches, Representation, Capture and Retrieval. Engineering with Computers, 16 (3): 209--235, 2000.Google ScholarDigital Library
- M.-J. Shih, D.-R. Liu and M.-L. Hsu. Mining Changes in Patent Trends for Competitive Intelligence. in Advances in Knowledge Discovery and Data Mining, 2008, 999--1005. Google ScholarDigital Library
- S. Shum, A. Selvin, M. Sierhuis, J. Conklin, C. Haley and B. Nuseibeh. Hypermedia Support for Argumentation-Based Rationale. in Rationale Management in Software Engineering, 2006, 111--132.Google Scholar
- A. Tang, Y. Jin and J. Han. A rationale-based architecture model for design traceability and reasoning. Journal of Systems and Software, 80 (6): 918--934, 2007. Google ScholarDigital Library
- A. Tang, A. Nicholson, Y. Jin and J. Han. Using Bayesian belief networks for change impact analysis in architecture design. Journal of Systems and Software, 80 (1): 127--148, 2007. Google ScholarDigital Library
- A.J.C. Trappey, F.-C. Hsu, C.V. Trappey and C.-I. Lin. Development of a patent document classification and search platform using a back--propagation network. Expert Systems with Applications, 31 (4): 755--765, 2006.Google ScholarCross Ref
- Y.-H. Tseng, C.-J. Lin and Y.-I. Lin. Text mining techniques for patent analysis. Inf. Process. Manage., 43 (5): 1216--1247, 2007. Google ScholarDigital Library
- L. Wanner, R. Baeza-Yates, S. Brügmann, J. Codina, B. Diallo, E. Escorsa, M. Giereth, Y. Kompatsiaris, S. Papadopoulos, E. Pianta, G. Piella, I. Puhlmann, G. Rao, M. Rotard, P. Schoester, L. Serafini and V. Zervaki. Towards content-oriented patent document processing. World Patent Information, 30 (1): 21--33, 2008.Google ScholarCross Ref
Index Terms
- A design rationale representation model using patent documents
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