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| 1 | AUTOMATIC PATENT DOCUMFNT SUMMARIZATION FOR COLLABORATIVE KNOWLEDGE SYSTEMS AND SERVICES显示文摘Engineering and research teams often develop new products and technologies by referring to inventions described in patent databases.Efficient patent analysis builds R&D knowledge,reduces new product development time,increases market success,and reduces potential patent infringement. Thus,it is beneficial to automatically and systematically extract information from patent documents in order to improve knowledge sharing and collaboration among R&D team members.In this research, patents are summarized using a combined ontology based and TF-IDF concept clustering approach. The ontology captures the general knowledge and core meaning of patents in a given domain.Then, the proposed methodology extracts,clusters,and integrates the content of a patent to derive a summary and a cluster tree diagram of key terms.Patents from the International Patent Classification(IPC) codes B25C,B25D,B25F(categories for power hand tools)and B24B,C09G and H011(categories for chemical mechanical polishing)are used as case studies to evaluate the compression ratio,retention ratio,and classification accuracy of the summarization results.The evaluation uses statistics to represent the summary generation and its compression ratio,the ontology based keyword extraction retention ratio,and the summary classification accuracy.The results show that the ontology based approach yields about the same compression ratio as previous non-ontology based research but yields on average an 11%improvement for the retention ratio and a 14%improvement for classification accuracy. | Amy J.C. TRAPPEY Charles V. TRAPPEY Chun-Yi WU | 2009 | Journal of Systems Science and Systems Engineering2009，18，1： | 7 |
| 2 | AN ECO- AND INNO-PRODUCT DESIGN SYSTEM APPLYING INTEGRATED AND INTELLIGENT QFDE AND TRIZ METHODOLOGY显示文摘The green environmental laws and regulations are legislated, implemented, and enforced in many countries and economic regions. The provision of green products and services are the fast growing trend in global consumer markets. Therefore, introducing new products with environmental considerations becomes critical for global brand manufacturers. This research depicts an integrated and intelligent eco- and inno-product design methodology to support environmental friendly green product development. The methodology adopts approaches, such as life cycle assessment (LCA), quality function deploymnet for environement (QFDE), theory of inventive problem solving (TRIZ) and back-propagation network (BPN) to achieve eco- and inno-design objectives. LCA evaluates and compares the environmental impacts of production. QFDE transforms high-level concerns of environment into design requirements. When there are many historical QFDE data, the BPN prediction model is trained and deployed to automate the specifications of green design improvement. TRIZ is to support the creation of innovative product design ideas effectively and efficiently during the concept design stage. Finally, this paper presents two eco-design cases of power adaptor to demonstrate the proposed methodology. | Amy J.C. TRAPPEY Jerry J.R. OU Gilbert Y.P. LIN Meng-Yu CHEN | 2011 | Journal of Systems Science and Systems Engineering2011，20，4： | 7 |
| 3 | A systematic review of the clinical outcomes of single row versus double row rotator cuff repairs显示文摘 | George J. Trappey Gary M. Gartsman | 2011 | Journal of Shoulder and Elbow Surgery2011，，2： | 2 |
| 4 | CLUSTERING PATENTS USING NON-EXHAUSTIVE OVERLAPS显示文摘Patent documents are unique external sources of information that reveal the core technology underlying new inventions.Patents also serve as a strategic data source that can be mined to discover state-of-the-art technical development and subsequently help guide R&D investments.This research incorporates an ontology schema to extract and represent patent concepts.A clustering algorithm with non-exhaustive overlaps is proposed to overcome deficiencies with exhaustive clustering methods used in patent mining and technology discovery.The non-exhaustive clustering approach allows for the clustering of patent documents with overlapping technical findings and claims,a feature that enables the grouping of patents that define related key innovations.Legal advisors can use this approach to study potential cases of patent infringement or devise strategies to avoid litigation.The case study demonstrates the use of non-exhaustive overlaps algorithm by clustering US and Japan radio frequency identification(RFID) patents and by analyzing the legal implications of automated discovery of patent infringement. | Charles V. TRAPPEY Amy J.C. TRAPPEY Chun-Yi WU | 2010 | Journal of Systems Science and Systems Engineering2010，19，2： | 2 |
| 5 | in vitro Anti-proliferative activities of ellagic acid显示文摘 | Losso N J Bansode R R Trappey A | | 0，，： | 1 |
| 6 | Global content management services for product providers and purchasers显示文摘 | Amy J C Trappey Charles V Trappey | 2004 | Computers in Industry2004，53，： | 1 |
| 7 | A DEA Benchmarking Methodology for Project Planning and Management of New Product Development under Decentralized Profit-center Business Model显示文摘 | Trappey A J C Chiang T A | 2008 | Advanced Engineering Informatics2008，22，4： | 1 |
| 8 | ISO10303 compatible data model and its applications for PC configuration management 显示文摘 | YAO Yinhe TRAPPEY A J C | 2000 | Robotics and Computer Integrated Manufacturing2000，16，5： | 1 |
| 9 | Mobile agent technology and application for online global logistic services显示文摘 | Trappey A J C Trappey C V Hou Jiang-liang | 2004 | Industrial Management & Data System2004，104，12： | 1 |
| 10 | An evaluation model for low carbon island policy : The case of Taiwan's green transportation policy显示文摘 | TRAPPEY A J C TRAPPEY C HS1AO C T | 2012 | Energy Policy2012，45，： | 1 |
| 11 | Development of an intelligent agent system for collaborative mold production with RFID technology显示文摘 | Amy J C Trappey Tung-Hung Lu | 2007 | Robotics and Computer-integrated Manufacturing2007，27，6： | 1 |
| 12 | Development of a Patent Document Classification and Search Platform Using a Back-propagation Network显示文摘 | Trappey A J C Hsu F C Trappey C V | 2006 | Expert Systems with Applications2006，31，4： | 1 |
| 13 | The design of a JADE-based autonomous workflow management system for collaborative So C design显示文摘 | Trappey C V Trappey A J C Huang C J | 2009 | Expert Systems with Applications2009，36，2： | 1 |
| 14 | Modeling international investment decisions for financial holding companies显示文摘 | Tsui-Yii Shih Amy J C Trappey | 2007 | European Journal of Operational Research2007，180，2： | 1 |
| 15 | An evaluation model for low carbon island policy: The case of Taiwan’s green transportation policy显示文摘 | Amy J.C. Trappey Charles Trappey C.T. Hsiao Jerry J.R. Ou S.J. Li Kevin W.P. Chen | 2012 | Energy Policy2012，，： | 1 |
| 16 | An evaluation of the time - varying ex- tended logistic, simple logistic, and Gompertz models for forecas- ting short product lifecycles 显示文摘 | V Charles H W Trappey | 2008 | Advanced Engineering Informat- ics2008，22，4： | 1 |
| 17 | Business and Logistics Hub Integration to Facilitate Global Supply Chain Linkage显示文摘 | Trappey C V Trappey A J C Lin G Y P | 2007 | Journal of Engineering Manufacture2007，221，7： | 1 |
| 18 | Location quotient EIO-LCA method for carbon emission analysis 显示文摘 | Trappey A J C Trappey C V Liu P H Y | 2013 | Advanced Concurrent Engineering2013，，： | 1 |
| 19 | Development ofa patent document classification and search platform using a back -propagation network 显示文摘 | Trappey A J C Hsu Fuqiang Trappey C V | 2006 | Expert Systems with Applications2006，31，4： | 1 |
| 20 | A patent Quality Analysis for Innovative Technology and Product Development 显示文摘 | Trappey A J C Trappey C V Wu C Y | 2012 | Ad- vanced Engineering Informatics2012，26，1： | 1 |
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