A patent search and classification system
Proceedings of the fourth ACM conference on Digital libraries
Design Rationale Systems: Understanding the Issues
IEEE Expert: Intelligent Systems and Their Applications
Text analysis and knowledge mining system
IBM Systems Journal
Using the patent co-citation approach to establish a new patent classification system
Information Processing and Management: an International Journal
Using Bayesian belief networks for change impact analysis in architecture design
Journal of Systems and Software
A rationale-based architecture model for design traceability and reasoning
Journal of Systems and Software
Cluster-based patent retrieval
Information Processing and Management: an International Journal
Patent document categorization based on semantic structural information
Information Processing and Management: an International Journal
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
Software Engineering Using RATionale
Journal of Systems and Software
Questions, options, and criteria: elements of design space analysis
Human-Computer Interaction
Large-scale, parallel automatic patent annotation
Proceedings of the 1st ACM workshop on Patent information retrieval
Extracting the significant-rare keywords for patent analysis
Expert Systems with Applications: An International Journal
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Computer-Aided Design
Mining changes in patent trends for competitive intelligence
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Designing graphical interfaces for design rationale search & retrieval
CHI '10 Extended Abstracts on Human Factors in Computing Systems
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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.