基于专利挖掘的创新设计关键技术研究
|
摘要
知识是创新的基础,专利是产品创新、促进企业发展的重要知识资源,TRIZ是面向技术创新问题解决的专利知识挖掘,是目前产品创新设计领域最重要的理论之一。以TRIZ进化理论为基础的产品技术成熟度预测,以及冲突解决原理辅助产生创新方案,使企业的研发决策更加科学合理,使产品创新有据可循。论文在TRIZ理论研究的基础上,面向产品创新的关键技术——技术成熟度预测和发明原理,借助文本挖掘和自然语言理解等先进的技术手段,重点研究依托专利资源进行计算机辅助创新的实现方法,以拓宽设计人员的设计决策和创新能力。论文的主要内容包括以下几个方面:
(1)提出了基于专利知识的产品创新设计方法,结合从专利文献中提取的有效知识和规律,增加创新设计的可预知性。
(2)在应用技术成熟度预测和冲突解决原理时,利用文本挖掘技术对专利进行分析和研究,给出了基于文本挖掘技术进行专利分析并用于产品创新的一种新思路,不仅延展了专利研究的角度和应用,并且可促进发明原理对应专利知识库的建设,推动TRIZ理论自身的发展和完善。
(3)分析了现有的产品技术成熟度预测方法,在Altshuller的专利考察模式基础上,研究了在现代信息化社会利用专利挖掘技术辅助企业进行技术成熟度预测的方法。论文根据专利文献的特点,给出了一套新的产品技术成熟度预测指标及其模型,开发了技术成熟度预测指标数据提取的软件系统,作为Invention Tool 3.0软件中技术进化模块的前处理系统。并应用该方法对美国的蝶阀产品进行了技术成熟度预测。
(4)阐述了常用的专利分类标准,从产品创新设计角度出发,指出当前专利分类体系支持创新设计的局限性,提出了一种面向发明原理的专利分类标准,辅助TRIZ使用者在产品的概念设计阶段从各个领域的专利文献中汲取知识,增强创新设计的能力。
(5)对英文专利的预处理技术和建立数学模型的方法进行了研究。在面向发明原理的专利分类中,对特征权重的计算方法、特征选择的方法和分类的方法进行了研究和试验。在此基础上,从TRIZ中选出10个发明原理,采用VC++程序设计语言实现软件编码,开发出了根据发明原理进行专利分类的软件,作为Invention Tool 3.0软件中冲突解决原理模块的后处理创新支持系统。并以造纸机为实例进行创新设计,帮助设计者产生原理方案,从而验证了该理论和方法的有效性。
Knowledge is the basis of innovation, and patent is a crucial knowledge resource to promote product innovation and enterprise development. TRIZ is patent knowledge mining oriented to technology innovative problem solved, which is one of the most important theories in innovative design field at present. The technology maturity of product forecasting based on TRIZ and principles of solving technical contradictions aided producing innovative schemes, make R & D decision-making of enterprises be more scientific, and product innovation have methodologies and evidences to support. On the basis of TRIZ and amazing at the key technologies of product innovation - technology maturity forecasting and Inventive Principles, this thesis focuses on computer supported innovation methods relying on the patents with text mining, natural language understanding and other advanced technologies, to broaden the designer's capabilities of decisions and innovation. This thesis has the following contributions:
A method of product innovative design based on patent knowledge is proposed, by extracting knowledge and rules from patent documents, to increase the predictability of innovative design.
With the application of technology maturity forecasting and principles of solving contradictions, patents are analyzed on the basis of text mining technology. This is a kind of new way for product innovation. It not only extends views and methods of patent analysis, making patent analysis and application more simple and widespread, but also promotes the construction of patent knowledge base corresponding to Inventive Principles, which can promote the develop -ment and perfect of TRIZ theory itself.
The existing methods of technology maturity forecasting are analyzed. Based on Altshuller’s patent review patterns, a method of technology maturity forecasting with text mining for patents is presented in the modern information society. According to the characteristics of patent literature, a suit of new indexes and models on technology forecasting of product maturity is put forward, and a software system is developed to extract the indexes data, which can be processing system before the technology evolution module of Invention Tool 3.0. The technology maturity of American butterfly valve is forecasted by using the method.
Patent classification as technology in organizing and processing the huge amount of patent data, the common patent classification standards are described. From the perspective of product innovative design, the limitations of the current patent classification system supported innovative design is pointed out, the patent classification standard according to Inventive Principle is put forward. It can help TRIZ user obtain knowledge from patent literature in various fields, develop design ideas in product conceptual design phase, break the inertia of thinking, and enhance the ability of innovative design.
Pretreatment technique of English patent and the method of establishing mathematical model are studied. In patent classification oriented for Inventive Principles, some feature selection methods are introduced and tested, the traditional TF-IDF feature weight calculation method is improved, and the classification methods are studied. On this basis, 10 Inventive Principles are selected, VC++ programming language is used for software code, visualization software for patent classification according to these Inventive Principles is developed as the post-processing innovation support system of principles of solving contradictions model in Invention Tool 3.0. And the paper machine is applied and verified as an example for innovative design with the reference in corresponding patents after principles determined to produce design schemes.
(1)提出了基于专利知识的产品创新设计方法,结合从专利文献中提取的有效知识和规律,增加创新设计的可预知性。
(2)在应用技术成熟度预测和冲突解决原理时,利用文本挖掘技术对专利进行分析和研究,给出了基于文本挖掘技术进行专利分析并用于产品创新的一种新思路,不仅延展了专利研究的角度和应用,并且可促进发明原理对应专利知识库的建设,推动TRIZ理论自身的发展和完善。
(3)分析了现有的产品技术成熟度预测方法,在Altshuller的专利考察模式基础上,研究了在现代信息化社会利用专利挖掘技术辅助企业进行技术成熟度预测的方法。论文根据专利文献的特点,给出了一套新的产品技术成熟度预测指标及其模型,开发了技术成熟度预测指标数据提取的软件系统,作为Invention Tool 3.0软件中技术进化模块的前处理系统。并应用该方法对美国的蝶阀产品进行了技术成熟度预测。
(4)阐述了常用的专利分类标准,从产品创新设计角度出发,指出当前专利分类体系支持创新设计的局限性,提出了一种面向发明原理的专利分类标准,辅助TRIZ使用者在产品的概念设计阶段从各个领域的专利文献中汲取知识,增强创新设计的能力。
(5)对英文专利的预处理技术和建立数学模型的方法进行了研究。在面向发明原理的专利分类中,对特征权重的计算方法、特征选择的方法和分类的方法进行了研究和试验。在此基础上,从TRIZ中选出10个发明原理,采用VC++程序设计语言实现软件编码,开发出了根据发明原理进行专利分类的软件,作为Invention Tool 3.0软件中冲突解决原理模块的后处理创新支持系统。并以造纸机为实例进行创新设计,帮助设计者产生原理方案,从而验证了该理论和方法的有效性。
Knowledge is the basis of innovation, and patent is a crucial knowledge resource to promote product innovation and enterprise development. TRIZ is patent knowledge mining oriented to technology innovative problem solved, which is one of the most important theories in innovative design field at present. The technology maturity of product forecasting based on TRIZ and principles of solving technical contradictions aided producing innovative schemes, make R & D decision-making of enterprises be more scientific, and product innovation have methodologies and evidences to support. On the basis of TRIZ and amazing at the key technologies of product innovation - technology maturity forecasting and Inventive Principles, this thesis focuses on computer supported innovation methods relying on the patents with text mining, natural language understanding and other advanced technologies, to broaden the designer's capabilities of decisions and innovation. This thesis has the following contributions:
A method of product innovative design based on patent knowledge is proposed, by extracting knowledge and rules from patent documents, to increase the predictability of innovative design.
With the application of technology maturity forecasting and principles of solving contradictions, patents are analyzed on the basis of text mining technology. This is a kind of new way for product innovation. It not only extends views and methods of patent analysis, making patent analysis and application more simple and widespread, but also promotes the construction of patent knowledge base corresponding to Inventive Principles, which can promote the develop -ment and perfect of TRIZ theory itself.
The existing methods of technology maturity forecasting are analyzed. Based on Altshuller’s patent review patterns, a method of technology maturity forecasting with text mining for patents is presented in the modern information society. According to the characteristics of patent literature, a suit of new indexes and models on technology forecasting of product maturity is put forward, and a software system is developed to extract the indexes data, which can be processing system before the technology evolution module of Invention Tool 3.0. The technology maturity of American butterfly valve is forecasted by using the method.
Patent classification as technology in organizing and processing the huge amount of patent data, the common patent classification standards are described. From the perspective of product innovative design, the limitations of the current patent classification system supported innovative design is pointed out, the patent classification standard according to Inventive Principle is put forward. It can help TRIZ user obtain knowledge from patent literature in various fields, develop design ideas in product conceptual design phase, break the inertia of thinking, and enhance the ability of innovative design.
Pretreatment technique of English patent and the method of establishing mathematical model are studied. In patent classification oriented for Inventive Principles, some feature selection methods are introduced and tested, the traditional TF-IDF feature weight calculation method is improved, and the classification methods are studied. On this basis, 10 Inventive Principles are selected, VC++ programming language is used for software code, visualization software for patent classification according to these Inventive Principles is developed as the post-processing innovation support system of principles of solving contradictions model in Invention Tool 3.0. And the paper machine is applied and verified as an example for innovative design with the reference in corresponding patents after principles determined to produce design schemes.
引文
[1]董文军.专利统计信息分析及其应用.科技情报开发与经济,2000,10 (5):29-30
[2] Mignogna R P.Popularity of Technology Forecasting Methods.http://www.temi.com/ TFSurvey.html, Oct., 2002
[3] http:∥www.european-patent-office.org/espacenet/info/index.htm, June, 2007
[4]夏文龙.专利对产业界的价值.智能财产权管理,1998(16):20-21
[5]骆云中,陈蔚杰,徐晓琳.专利情报分析与利用.上海:华东工业大学出版社,2007: 10-52.
[6] World Intellectual Property Organization . World Patent Report Confirms Increasing Internationalization of Innovative Activity . http://www.sipo.gov.cn/sipo_English/news/ internationalip/200904/t20090417_454481.html, Nov. 2009
[7]约瑟夫,熊彼特(英).经济发展理论.北京:商务印书馆,1990
[8]张宗庆.技术创新与企业的可持续发展.经济观察,1999(6):48-51
[9]沈惠平.机械创新设计及其研究.机械科学与技术,1997,16 (5):791-795
[10]邹慧君,张青,郭为忠.广义概念设计的普遍性、内涵及理论基础的探索.机械设计与研究,2004,20(3):10-14
[11]腾启,宋可,王红岩.机械创新设计的研究.锻压机械,2002(2):6-8
[12]吕仲文.机械创新设计.北京:机械工业出版社,2004
[13]孙守迁,包恩伟,潘云鹤.基于组合原理的概念创新设计.计算机辅助设计与图形学学报,1999,11(3):262~265
[14]李彦,王杰等.创新性思维及计算机辅助产品创新设计研究.计算机集成制造—CIMS,2003,9(12):1092-1096
[15]赵燕伟.基于多级菱形思维模型的方案设计新方法.中国机械工程,2000,11(6): 684-687
[16]约翰逊R C.机械设计综合—创造性设计与最优化(陆国贤等译).北京:机械工业出版社,1987
[17] Nigel Cross.Descriptive Models of Creative Design: application to an example.Design Studies, 1997, 18(4): 427-439
[18] Altshuller G S.Creativity as an Exact Science: the Theory of the Solution of Inventive Problems.The United Kingdom: Gordon and Breach Science Publishers Inc, London, 1984
[19] Akao Y.Quality Function Deployment, Cambridge, MA: Productivity Press, 1990
[20]颜洪森.颜氏创造性机构设计(一)~(三).机械设计,1995,12:10-12
[21]李学荣,李乃拓.多杆机构复杂运动分析与自动化设计.长沙交通学院学报,2000,16(1):18-21
[22]肖云龙.创造性设计.武汉:湖北科学技术出版社,1989
[23]洪允楣.机构设计的组合与变异方法.北京:机械工业出版社,1982
[24]陈建国,潘云鹤.基于空间探索的创造性设计方法的研究.计算机辅助设计与图形学学报,2000,12(6):441-445
[25]檀润华,马建红,陈子顺等.基于TRIZ中需求进化定律的一类原始创新过程研究,中国工程科学,2008,10(11):52-58
[26]邹慧君,汪利,王石刚等.机械产品概念设计及其方法综述.机械设计与研究,1998,(2):9-12
[27]邹慧君,汪利.计算机辅助的机构运动行为知识表示及推理.机械设计,1999,16(1): 9-11
[28]王玉新.机械系统设计自动化方法.机械工程学报,2002,38(10):148-153
[29]冯培恩,邱清盈等.机械产品广义优化设计进行研究.中国科学(E辑),199,29(4): 338-346
[30] Huang Kezheng, Ai Xing, Zhang Chengrui.Decomposition and Reconstitution Principle for Complex Surfaces and its Application, Science in China (Series E), 1997, 40(1): 89-96
[31] Hideyuki Ando, Akihiro Kubota, Takashi Kiriyama.Study on the Collaborative Design Process over the Internet a Case Study on VRML 20 Specification Design.Design Studies, 1998, 19: 289-308
[32] Yoshimura M, Kobayashi M, Izui K.A Collaborative System for Supporting Creative Design Based on Designer’s Interactive Communication . Transactions of the Japan Society of Mechanical Engineers.2004, 70(690): 523-530
[33]谢友柏.知识服务-互联网上合作设计的基础.中国机械工程,2002,13(4): 290-297
[34]田凌,童秉枢.网络化产品协同设计的理论与实践.计算机工程与应用,2002,38(5): 3-6
[35]李健,张鸿梁等.基于网络的协同设计方法研究.清华大学学报:自然科学版,2000,40(9):93~96
[36]檀润华.创新设计-TRIZ:发明问题解决理论.北京:机械工业出版社,2002
[37] Frauens M W.Improved Selection of Technically Attractive Project s Using Knowledge Management and Net Interactive Tools[Dissertation].Cambridge: MIT , 2000
[38] Mann D.Using S-curves and Trends of Evolution in R&D Strategy Planning.http://www.triz-journal.com/archives/1999/07/g/index.htm.2008,8
[39] Narin Francis.Tech-line Background Paper.http://www.chiresearch.com/ techline/t1bp.pdf, July, 2008
[40] Michael W.Frauens.Improved Selection of Technically Attractive Projects Using Knowledge Management and Net Interactive Tools,thesis,MIT, 2000(6): 9
[41] Norman D.The Life Cycle of a Technology: Why It is So Difficult for Large Companies to Innovate.http://www.jnd.org/dn.pubs.html,May,2007
[42] Kurzweil R . The Life Cycle of a Technology, http://learninglab.stanford.edu /projects/tomprof/newtomprof/postings/88.htm, May,2007
[43] Sottong S E.Technology: Waiting for the“False”Pretender.Information Technology and Libraries, 2001, 19(2):72-80
[44]张换高,赵文燕,檀润华.基于专利分析的产品技术成熟度预测技术及其软件开发.中国机械工程,2006,17(8):823-827
[45]陈锦棉,潘皖印,毛家杰.科学预测和技术预测方法研究.科学研究,1997(4):58-60
[46]刘玉琴,朱东华,吕林.基于文本挖掘技术的产品技术成熟度预测.计算机集成制造集成系统,2008,14(3):506-509
[47]刘玉琴,汪雪琴,雷孝平.基于文本挖掘技术的专利质量评价与实证研究.计算机工程与应用,2007,43(33):12-14
[48]贾怀玉,金先龙,李治等.基于KBE的电梯智能设计系统.计算机辅助设计与图形学报,2004,16(6):861-865
[49] Altshuller G S.The Innovation Algorithm.Worcester: Technical Innovation Center, 1999
[50]檀润华,王庆禹,苑彩云等.发明问题解决理论:TRIZ——TRIZ过程、工具及发展趋势.机械设计,2001,18(7):7–11
[51]檀润华,杨伯军,张建辉.基于TRIZ的产品创新模糊前端设想产生模式研究,中国机械工程,2008,19(16):1990~1995
[52]檀润华,苑彩云,张瑞红等.基于技术进化的产品设计过程研究.机械工程学报,2002,30(12):60-65
[53]马建红,李娟,檀润华.计算机辅助创新设计系统- Innovation Tool 2.0开发.河北工业大学学报,2004,33(4):1~6
[54]檀润华,马建红,曹国忠.计算机辅助产品创新软件Invention Tool 3.0,软件登记号2006SR13729, 2006
[55] Soo V W, Lin S Y, Yang S Y, et al.A Cooperative Multi-agent Platform for Invention based on Ontology and Patent Document Analysis.Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005
[56] Verbitsky M.Semantic TRIZ.TRIZ Journal, 2004, 9(2): 1-14
[57] Cascini G, Russo D.Computer-aided Analysis of Patents and Search for TRIZ Contradictions.Int. J. Product Development, 4(1/2), 2007: 52-67
[58] Cascini G, Rissone P . PAT-Analyzer: A Tool to Speed-up Patent Analyses with a TRIZ Perspective.ETRIA World Conference- TRIZ Future 2003
[59] Loh Han Tong, He Cong, Shen Lixiang.Automatic Classification of Patent Document for TRIZ Users.World Patent Information, 2006, 28: 6-13
[60] He Cong, Loh Han Tong.Grouping of TRIZ Inventive Principles to Facilitate Automatic Patent Classification.Expert System with Applications, 2006:1-8
[61] CREAX INNOVATION SUITE 3.1.http://www.creaxinnovationsuite.com/, March, 2009
[62] Goldfire.http://gli.goldfire.com, March, 2009
[63] Mann D, Dewulf S.Updating the Contradiction Matrix.Proceedings of the fifth Annual International Conference of Altshuller Institute for TRIZ Studies, USA, 2003
[64] Mann D.Comparing the Classical and New Contradiction Matrix: Part 2- Zooming In.TRIZ Journal,July, 2004
[65]金博.面向专利和零部件的设计知识检索方法[博士学位论文].大连:大连理工大学,2009
[66]俞春阳.基于专利本体的产品创新设计技术研究[硕士学位论文].杭州:浙江大学,2007
[67]刘镇滔.面向中小企业的专利知识服务及其平台研究[硕士学位论文].上海:上海交通大学,2007
[68] ACL-2003 Workshop on Patent Corpus Processing [EB/OL]. http://www.slis.tsukuba.ac.jp/ fujii/acl2003ws.html, April, 2008
[69] Hodes A S.Patent Analysis and Formulation Using Ontologies Patent.USA, US20050144177, June, 2005
[70] Hode A S.Competitive Product Intelligence System and Method, Including Patent Analysis and Formulation Using One or More Ontologies.Patent, USA, US20050234738, Oct., 2005
[71] Liao C H, Meng I H, Chang L P.Patent Summarization Systems and Methods.Patent, USA, US20060074856, April, 2006
[72] Lin D C, Liou J, Du J . Automatic Patent Claim Reader and Computer-aided Reading Method.Patent.USA, US20050004806, Jan., 2005
[73] Tran B Q.Patent optimizer.Patent. USA, US20060190807, Aug., 2006
[74] Feldman R, Dangan I.Mining Text Using Keyword Distributions.Journal of Intelligent Information Systems, 1998, 10: 281-300
[75] Miyake M, Mune Y, Himeno K.Strategic Intellectual Property Portfolio Management: Technology Appraisal by Using The“Technology Heat Map”.Nomura Research Institute Papers, 2004
[76] Yoon B, Park Y.A text-mining-based Patent Network: Analytical Tool for High-technology Trend.Journal of High Technology Management Research, 15, 2004:37-50
[77] Yoon B, Park Y.A Systematic Approach for Identifying Technology Opportunities: Keyword-based Morphology Analysis.Technological Forecasting & Social Change, 72(2), 2005: 145-160
[78] Tseng Y H, Lin C J, Lin Y I.Text mining Techniques for Patent Analysis.Information Processing & Management, 43(5), 2007: 1216-1247
[79] Soo V W, Lin S Y, Yang S Y, et al.A Cooperative Multi-Agent Platform for Invention based on Ontology and Patent Document Analysis.Proceeding of the 9th International Conference on CSCW in Design, Coventry, UK, May, 2005
[80] Young G K,Jong H S,Sang C P.Visualization of Patent Analysis for Emerging Technology.Expert Systems with Applications,2008(34): 1804-1812
[81]王朝霞,邱清盈,冯培恩.机械产品专利技术方案信息抽取方法研究.《机械工程学报》,25 (10),2009:198-206
[82] Lamirel J C, Shehabi S A, Hoffmann M, et al.Intelligent Patent Analysis through the Use of a Neural Network: Experiment of Multi-viewpoint Analysis with the MultiSOM model.Proceedings of the ACL-2003 Workshop on Patent Corpus Processing, 2003: 7-23
[83] Fattor M, Pedrazzi G,Turra R.Text mining applied to patent mapping: a Practical Business Case.World Patent Information, 2003(25): 335-342
[84] Doi H, Seki Y, Aono M . A Patent Retrieval Method Using a Hierarchy of Clusters at TUT[A].Proceeding of the 5th NTCIR Workshop Meeting on Evaluation of Information Access Technologies, Tokyo, December, 2005: 403-406
[85] Larkey L S.Some Issues in the Automatic Classification of U.S. Patents.AAAI-98 Workshop on Learning for Text Categorization, Menlo Park,1998: 87-90
[86] Larkey L S.A Patent Search and Classification System. Proceedings of the 4th ACM conference on Digital Libraries, Berkeley, 1999:179-187
[87] Larkey L S, Connell M E, Callan J.Collection Selection and Results Merging with Topically Organized US Patents and TREC Data.Proceedings of the 9th International Conference on Information and Knowledge Management (CIKM).Washington D.C., 2000: 282-289
[88] Fall C J, Torcsvári A, Benzineb K, et al.Automated Categorization in the International Patent Classification [J].ACM SIGIR Forum, 37(1), 2003: 10-25
[89] Trappey A J C, Hsu F C, Trappey C V, et al.Development of a Patent Document Classification and Search Platform Using a Back-propagation Network.Expert Systems with Applications.2006(31): 755-765
[90] Lai, K K, Wu S J.Using the Patent Co-citation Approach to Establish a New Patent Classification System.Information Processing & Management, 2005, 41(2): 313-330
[91] Iwayama M, Fujii A, Kando N.Overview of Patent Retrieval Task at NTCIR-3 [A].ACL-2003 Workshop on Patent Corpus Processing, Sappor , 2003: 24-32
[92] Li Y, Bontcheva K, Cunningham H . SVM Based Learning System for F-term Patent Classification[A].Proceedings of the sixth NTCIR Workshop Meeting on Evaluation of Information Access Technologies. Tokyo, 2007: 15-18
[93] Bay Y M.Development and Applications of Patent Map in Korean High-Tech Industry.The first Asia-Pacific Conference on Patent Maps, Taipei, China, 2003: 3-23
[94] Thomson Reuters. Aureka. http://scientific.thomsonreuters.com /media /gmscorppdfs /aureka.pdf, March, 2008
[95] http://www.cas.org/products/anavist/index.html, March, 2008
[96] http://www.thevantagepoint.com/, March, 2008
[97] http://www.invention-machine.com, March, 2008
[98]暴海龙,李金林.专利检索中的IPC和主题词识别方法研究.北京理工大学学报,2003(5):74-76
[99]郭炜强,戴天,文贵华.基于领域知识的专利自动分类.计算机工程,2005,31(23):52-54
[100]杨春亮.模糊逻辑的专利数据层次分类研究[硕士学位论文],2008
[101]刘玉琴,桂捷,朱华东.基于IPC知识结构的专利自动分类方法.计算机工程,2008,34(3):207-209
[102]蔡文沁,彭培林,姜寿山.航空产品设计知识的表示与重用技术研究.计算机集成制造系统CIMS,2004,10(1):55-58
[103] Mueller G. Accurately and Rapidly Predicting Next-generation Product Breakthrough in The Medical-Devices, Disposable Shaving Systems, And cosmetic Industries, TRIZ Journal, March 1999
[104]中华人们共和国专利法.天津水产.2001(3):42-45
[105]方曙.基于专利信息分析的技术创新能力研究[博士学位论文].成都:西南交通大学,2007
[106]杜昂.面向产品创新设计的语义关键词专利检索方法[硕士学位论文].大连:大连理工大学,2009
[107] Fayyad U M, Piatesky-Shapiro G., Smyth P, et al.From Data Mining to Knowledge Discovery: An Overview,Advances in Knowledge Discovery and Data Mining.AAAI/MIT Press, Cambridge, Mass.,1996: 1-36
[108]陈安,陈宁,周龙骧等.数据挖掘技术及应用.北京:科学出版社,2006
[109]胡侃,夏绍玮.基于大型数据仓库的数据采掘.软件学报,1998,9(1):53-61
[110]卢美律.数据库里的知识发现.科学,1997,49(6):25-28
[111] Keogh E, Kasetty S.On the need for time series data mining benchmarks: a survey and empirical demonstration.Data Mining and Knowledge Discovery, 2003, 7(4): 349-371
[112] Hearst M A . Text Data Mining: Issues, Techniques, and the Relationship to Information Access.Presentation Notes for UM/MS Workshop on Data Mining, July, 1997
[113] Feldman R, Dagan I.Knowledge discovery in textual databases(KDT).Proceedings of the First International Conference on Knowledge Discovery and Data Mining(KDD-95),Montreal, Canada, August ,1995, AAAI Press: 112-117
[114] Kodratoff Y.Knowledge Discovery in Texts: A Definition, and Applications.Foundations of Intelligent Systems 11th International Symposium, Proceedings ISMIS’99, Warsaw, Poland, June, 1999: 16-29
[115] Quek C Y.Classification of World Wide Web Documents [Dissertation].School of Computer Science, Carnegie Mellon University, 1997
[116] Robertson S E, Spark-Jones K.Relevance Weighting of Search Terms.Journal of the American Society for Information Science, 1976, 27(3): 129-146.
[117] Salton G, Lest M E.Computer Evaluation of Indexing and Text Processing.Association for Computing Machinery, 1968, 15(1): 8-36
[118]陈晓云.文本挖掘若干关键技术研究[博士学位论文].浙江:复旦大学,2005
[119] Porter M F.An Algorithm for Suffix Striping.Program, 1980, 14(3): 130-137
[120] Dawson J.Suffix Removal and Word Conflation.ALLC Bulletin, 1974, 2(3): 56-61
[121] Paice C D.Another Stemmer.ACM SIGIR Forum, 1990, 24(3): 56-61
[122] Krovetz R.Viewing morphology as an inference process.Proceeding of the sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1993, 191-202
[123] Ho T K.Stop Word Location and Identification for Adaptive Text Recognition.International Journalon Document Analysis and Recognition, 2000, 3(1): 16-26
[124] Lewis D D.Feature Selection and Feature Extract ion for Text Categorization.Proceedings of Speech and Natural Language Workshop, Morgan Kaufmann, Harriman, CA, 1992: 212-217.
[125] Liu H, Setiono R.A Probabilistic Approach to Feature Selection-a Filter Solution.Proceedings of the 13th International Conference on Machine Learning ICML’97, Morgan Kaufmann, San Francisco, CA, 1996: 319-327
[126] Mladenic D, Grobelnik M.Feature Selection on hierarchy of web documents.Decision Support Systems, 2003, 35: 45-87
[127] Yang Yiming, Pedersen J O . A Comparative Study on Feature Selection in Text Categorization.Proceeding of ICML97, 14th International Conference on Machine Learning, Nashville, US, 1997: 412-420
[128] Yang Y.Evaluation of Statistical Approaches to text Categorization.Information Retrieval, 1999, 1(1-2): 69-90
[129] Nigam k, McCallum A, Thrun S, et al.Learning to Classify Text Labeled and Unlabeled Documents.Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI 998), 1998: 792-799
[130] Yair Even-Zohar.Introduction to Text Mining[Dissertation].University of Illinois, 2002
[131] Curt E.Patent Information from the EPO in 2005—Recent Developments and Future Plans.World patent information, 2005, 28(2): 112-116
[132]任工昌,刘永红,张优云.产品创新的基础:获取新知识的资源——专利.机械制造,2003,42(462):7-9
[133] Kivenson G.The Art and Science of Invention.New York,Van Nostrand Reinhold,1982
[134] Hubka Vladimir, Eder W.Ernst.Theory of Technical of Systems: A Total Concept Theory for Engineering Design.Berlin-New York,Springer Ver2lag, 1988: 291
[135]何新贵.知识处理与专家系统.北京:国防工业出版社,1990
[136] Vlaanderen M J.Automated Knowledge Acquisition for Expert Systems: an Overview.Faculty of Philosophy, Erarmus University Rotterdam, 1990
[137]何应钦,王申康.机器学习与知识获取.浙江,浙江大学出版社, 1997
[138]谢友柏.现代设计与知识获取.中国机械工程,1996,7(6): 36-41
[139]郑称德.TRIZ理论及其设计模型.管理工程学报,2003,17(1): 84-87
[140] Domb Ellen.QFD and TIPS/TRIZ.http://www.triz-journal.com/archives/1998/06/c /index.htm, June, 1998
[141] Victor R F, Eugene I R.Guided Technology Evolution.http://www.trizgroup.com /article2.htm, May, 2007
[142] Raymond V.International Investment and International Trade in the Product Cycle.Quarterly Journal of Economics, 1966, 80(2): 190–207
[143] Michael W F.Improved Selection of Technically Attractive Projects Using Knowledge Management and Net Interactive Tools[Dissertation],MIT, 2000, 6: 9
[144] Savransky S D.Engineering of Creativity.New York: CRC Press, 2000
[145] Domb E, Managing Creativity for Project Success, First Published in the Proceedings of the 7th Project Leadership Conference, June, 2000
[146]张青华.基于TRIZ的技术进化理论研究及工程应用[硕士学位论文].天津:河北工业大学,2003
[147] Boris Zlotin, Alla Zusman.Directed Evolution Philosphy, Theory and Practice.San Francisco: Ideation International Inc., 2001, 3: 40-48
[148] Petrov V.The Law of System Evolution.http://www.triz-journal.com/archives/2002/03/c/ index.htm, Mar.,2002
[149] Sediel A.A Citation system for Patent Office.Journal of the Patent Office Society, 1949(31)
[150] Mogee M E.Using Patent for Technology Analysis and Planning.Research Technology Management, 1991, 34(4)
[151] Michael W F.Improved Selection of Technically Attractive Projects Using Knowledge Management and Net Interactive Tools[Dissertation],MIT, 2000(6): 9
[152] Bronwyn H H, Adam B J, Manuel T.The NBER Patent Citations Data Files: Lessons, Insights and Methodological Tools [EB/OL].http://www.nber.org/papers,April, 2010
[153] SCHANKERMAN M, PAKES A.Estimates of the Value of Patent Rights in European CountriesDuring the Post-1950 Period.The Economic Journal, December, 1986: 1052-1076
[154] Ariel Pakes,Mark Schankerman.The Rate of Obsoleseence of Patents,Research Gestation Lags,and the Private Rate of Return to Research Resourees.R&D,Patents and Productivity.1984,P73-88
[155]杨源泉.阀门设计手册.北京:机械工业出版社,1992
[156]郝承明.蝶阀技术的新进展.阀门,2001,5:32~34
[157] Chen L, Rokuda N,Lian C, et al. A Patent Document Retrieval System Addressing Both Semantic and Syntactic Properties.ACL Workshop on Patent Corpus Processing, 2003: 1-6
[158] Tseng Y H, Lin C J, Lin Y I.Text Mining Techniques for patent analysis.Information Processing and Management, 43(5), 2007: 1216-1247
[159] Stop Word List-words Filtered Out by Search Engine Spiders[EB/OL] . http:// www.seo-innovation.com /support files /stopwordlist.pdf, June, 2009
[160] Yang Y, Pedersen J O.A Comparative Study on Feature Selection in Text Categorization.Proceeding of ICML97, 14th International Conference on Machine Learning, Nashville, US, 1997: 412-420
[161] Hotho A, Nürnberger A., Paa? G..A Brief Survey of Text Mining.GLDV-Journal for Computational Linguistics and Language Technologie.20(1), 2005: 19-62
[162] Makoto Iwayama, Takenobu, Tokunaga.Cluster-based Text Categorization: a Comparison of Category Search Strategies.Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1995: 273–280
[163] Yang Y.A evaluation of statistical approaches to text categorization.Information Retrieval, 1999, 1(1-2): 69-90
[164] Cover T M, Hart P E.Nearest neighbor pattern classification.IEEE Transactions on Information Theory, 1968, 13(1): 21-27
[165] Lewis D D, Ringuette M.A Comparison of Two Learning Algorithms Categorization.In Third Annual Symposium on Document Analysis and IR, ISRI, Las Vegas, 1994
[166] Lewis D D.Naive (Bayes) at forty: The Independence Assumption Information Retrieval.Machine Learning: ECML-98, the 10th European Conference on Machine Learning, 1998: 4-15
[167] McCallum A, Nigam k . A Comparison of Event Models for Naive Bayes Text Classification . Procceedings of the Seventh International Symposium on Computers and Communications, 2002: 1034-1039.
[168] VanRijsbergen C J.Information Retrieval.London: Butterworths, 1979
[2] Mignogna R P.Popularity of Technology Forecasting Methods.http://www.temi.com/ TFSurvey.html, Oct., 2002
[3] http:∥www.european-patent-office.org/espacenet/info/index.htm, June, 2007
[4]夏文龙.专利对产业界的价值.智能财产权管理,1998(16):20-21
[5]骆云中,陈蔚杰,徐晓琳.专利情报分析与利用.上海:华东工业大学出版社,2007: 10-52.
[6] World Intellectual Property Organization . World Patent Report Confirms Increasing Internationalization of Innovative Activity . http://www.sipo.gov.cn/sipo_English/news/ internationalip/200904/t20090417_454481.html, Nov. 2009
[7]约瑟夫,熊彼特(英).经济发展理论.北京:商务印书馆,1990
[8]张宗庆.技术创新与企业的可持续发展.经济观察,1999(6):48-51
[9]沈惠平.机械创新设计及其研究.机械科学与技术,1997,16 (5):791-795
[10]邹慧君,张青,郭为忠.广义概念设计的普遍性、内涵及理论基础的探索.机械设计与研究,2004,20(3):10-14
[11]腾启,宋可,王红岩.机械创新设计的研究.锻压机械,2002(2):6-8
[12]吕仲文.机械创新设计.北京:机械工业出版社,2004
[13]孙守迁,包恩伟,潘云鹤.基于组合原理的概念创新设计.计算机辅助设计与图形学学报,1999,11(3):262~265
[14]李彦,王杰等.创新性思维及计算机辅助产品创新设计研究.计算机集成制造—CIMS,2003,9(12):1092-1096
[15]赵燕伟.基于多级菱形思维模型的方案设计新方法.中国机械工程,2000,11(6): 684-687
[16]约翰逊R C.机械设计综合—创造性设计与最优化(陆国贤等译).北京:机械工业出版社,1987
[17] Nigel Cross.Descriptive Models of Creative Design: application to an example.Design Studies, 1997, 18(4): 427-439
[18] Altshuller G S.Creativity as an Exact Science: the Theory of the Solution of Inventive Problems.The United Kingdom: Gordon and Breach Science Publishers Inc, London, 1984
[19] Akao Y.Quality Function Deployment, Cambridge, MA: Productivity Press, 1990
[20]颜洪森.颜氏创造性机构设计(一)~(三).机械设计,1995,12:10-12
[21]李学荣,李乃拓.多杆机构复杂运动分析与自动化设计.长沙交通学院学报,2000,16(1):18-21
[22]肖云龙.创造性设计.武汉:湖北科学技术出版社,1989
[23]洪允楣.机构设计的组合与变异方法.北京:机械工业出版社,1982
[24]陈建国,潘云鹤.基于空间探索的创造性设计方法的研究.计算机辅助设计与图形学学报,2000,12(6):441-445
[25]檀润华,马建红,陈子顺等.基于TRIZ中需求进化定律的一类原始创新过程研究,中国工程科学,2008,10(11):52-58
[26]邹慧君,汪利,王石刚等.机械产品概念设计及其方法综述.机械设计与研究,1998,(2):9-12
[27]邹慧君,汪利.计算机辅助的机构运动行为知识表示及推理.机械设计,1999,16(1): 9-11
[28]王玉新.机械系统设计自动化方法.机械工程学报,2002,38(10):148-153
[29]冯培恩,邱清盈等.机械产品广义优化设计进行研究.中国科学(E辑),199,29(4): 338-346
[30] Huang Kezheng, Ai Xing, Zhang Chengrui.Decomposition and Reconstitution Principle for Complex Surfaces and its Application, Science in China (Series E), 1997, 40(1): 89-96
[31] Hideyuki Ando, Akihiro Kubota, Takashi Kiriyama.Study on the Collaborative Design Process over the Internet a Case Study on VRML 20 Specification Design.Design Studies, 1998, 19: 289-308
[32] Yoshimura M, Kobayashi M, Izui K.A Collaborative System for Supporting Creative Design Based on Designer’s Interactive Communication . Transactions of the Japan Society of Mechanical Engineers.2004, 70(690): 523-530
[33]谢友柏.知识服务-互联网上合作设计的基础.中国机械工程,2002,13(4): 290-297
[34]田凌,童秉枢.网络化产品协同设计的理论与实践.计算机工程与应用,2002,38(5): 3-6
[35]李健,张鸿梁等.基于网络的协同设计方法研究.清华大学学报:自然科学版,2000,40(9):93~96
[36]檀润华.创新设计-TRIZ:发明问题解决理论.北京:机械工业出版社,2002
[37] Frauens M W.Improved Selection of Technically Attractive Project s Using Knowledge Management and Net Interactive Tools[Dissertation].Cambridge: MIT , 2000
[38] Mann D.Using S-curves and Trends of Evolution in R&D Strategy Planning.http://www.triz-journal.com/archives/1999/07/g/index.htm.2008,8
[39] Narin Francis.Tech-line Background Paper.http://www.chiresearch.com/ techline/t1bp.pdf, July, 2008
[40] Michael W.Frauens.Improved Selection of Technically Attractive Projects Using Knowledge Management and Net Interactive Tools,thesis,MIT, 2000(6): 9
[41] Norman D.The Life Cycle of a Technology: Why It is So Difficult for Large Companies to Innovate.http://www.jnd.org/dn.pubs.html,May,2007
[42] Kurzweil R . The Life Cycle of a Technology, http://learninglab.stanford.edu /projects/tomprof/newtomprof/postings/88.htm, May,2007
[43] Sottong S E.Technology: Waiting for the“False”Pretender.Information Technology and Libraries, 2001, 19(2):72-80
[44]张换高,赵文燕,檀润华.基于专利分析的产品技术成熟度预测技术及其软件开发.中国机械工程,2006,17(8):823-827
[45]陈锦棉,潘皖印,毛家杰.科学预测和技术预测方法研究.科学研究,1997(4):58-60
[46]刘玉琴,朱东华,吕林.基于文本挖掘技术的产品技术成熟度预测.计算机集成制造集成系统,2008,14(3):506-509
[47]刘玉琴,汪雪琴,雷孝平.基于文本挖掘技术的专利质量评价与实证研究.计算机工程与应用,2007,43(33):12-14
[48]贾怀玉,金先龙,李治等.基于KBE的电梯智能设计系统.计算机辅助设计与图形学报,2004,16(6):861-865
[49] Altshuller G S.The Innovation Algorithm.Worcester: Technical Innovation Center, 1999
[50]檀润华,王庆禹,苑彩云等.发明问题解决理论:TRIZ——TRIZ过程、工具及发展趋势.机械设计,2001,18(7):7–11
[51]檀润华,杨伯军,张建辉.基于TRIZ的产品创新模糊前端设想产生模式研究,中国机械工程,2008,19(16):1990~1995
[52]檀润华,苑彩云,张瑞红等.基于技术进化的产品设计过程研究.机械工程学报,2002,30(12):60-65
[53]马建红,李娟,檀润华.计算机辅助创新设计系统- Innovation Tool 2.0开发.河北工业大学学报,2004,33(4):1~6
[54]檀润华,马建红,曹国忠.计算机辅助产品创新软件Invention Tool 3.0,软件登记号2006SR13729, 2006
[55] Soo V W, Lin S Y, Yang S Y, et al.A Cooperative Multi-agent Platform for Invention based on Ontology and Patent Document Analysis.Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005
[56] Verbitsky M.Semantic TRIZ.TRIZ Journal, 2004, 9(2): 1-14
[57] Cascini G, Russo D.Computer-aided Analysis of Patents and Search for TRIZ Contradictions.Int. J. Product Development, 4(1/2), 2007: 52-67
[58] Cascini G, Rissone P . PAT-Analyzer: A Tool to Speed-up Patent Analyses with a TRIZ Perspective.ETRIA World Conference- TRIZ Future 2003
[59] Loh Han Tong, He Cong, Shen Lixiang.Automatic Classification of Patent Document for TRIZ Users.World Patent Information, 2006, 28: 6-13
[60] He Cong, Loh Han Tong.Grouping of TRIZ Inventive Principles to Facilitate Automatic Patent Classification.Expert System with Applications, 2006:1-8
[61] CREAX INNOVATION SUITE 3.1.http://www.creaxinnovationsuite.com/, March, 2009
[62] Goldfire.http://gli.goldfire.com, March, 2009
[63] Mann D, Dewulf S.Updating the Contradiction Matrix.Proceedings of the fifth Annual International Conference of Altshuller Institute for TRIZ Studies, USA, 2003
[64] Mann D.Comparing the Classical and New Contradiction Matrix: Part 2- Zooming In.TRIZ Journal,July, 2004
[65]金博.面向专利和零部件的设计知识检索方法[博士学位论文].大连:大连理工大学,2009
[66]俞春阳.基于专利本体的产品创新设计技术研究[硕士学位论文].杭州:浙江大学,2007
[67]刘镇滔.面向中小企业的专利知识服务及其平台研究[硕士学位论文].上海:上海交通大学,2007
[68] ACL-2003 Workshop on Patent Corpus Processing [EB/OL]. http://www.slis.tsukuba.ac.jp/ fujii/acl2003ws.html, April, 2008
[69] Hodes A S.Patent Analysis and Formulation Using Ontologies Patent.USA, US20050144177, June, 2005
[70] Hode A S.Competitive Product Intelligence System and Method, Including Patent Analysis and Formulation Using One or More Ontologies.Patent, USA, US20050234738, Oct., 2005
[71] Liao C H, Meng I H, Chang L P.Patent Summarization Systems and Methods.Patent, USA, US20060074856, April, 2006
[72] Lin D C, Liou J, Du J . Automatic Patent Claim Reader and Computer-aided Reading Method.Patent.USA, US20050004806, Jan., 2005
[73] Tran B Q.Patent optimizer.Patent. USA, US20060190807, Aug., 2006
[74] Feldman R, Dangan I.Mining Text Using Keyword Distributions.Journal of Intelligent Information Systems, 1998, 10: 281-300
[75] Miyake M, Mune Y, Himeno K.Strategic Intellectual Property Portfolio Management: Technology Appraisal by Using The“Technology Heat Map”.Nomura Research Institute Papers, 2004
[76] Yoon B, Park Y.A text-mining-based Patent Network: Analytical Tool for High-technology Trend.Journal of High Technology Management Research, 15, 2004:37-50
[77] Yoon B, Park Y.A Systematic Approach for Identifying Technology Opportunities: Keyword-based Morphology Analysis.Technological Forecasting & Social Change, 72(2), 2005: 145-160
[78] Tseng Y H, Lin C J, Lin Y I.Text mining Techniques for Patent Analysis.Information Processing & Management, 43(5), 2007: 1216-1247
[79] Soo V W, Lin S Y, Yang S Y, et al.A Cooperative Multi-Agent Platform for Invention based on Ontology and Patent Document Analysis.Proceeding of the 9th International Conference on CSCW in Design, Coventry, UK, May, 2005
[80] Young G K,Jong H S,Sang C P.Visualization of Patent Analysis for Emerging Technology.Expert Systems with Applications,2008(34): 1804-1812
[81]王朝霞,邱清盈,冯培恩.机械产品专利技术方案信息抽取方法研究.《机械工程学报》,25 (10),2009:198-206
[82] Lamirel J C, Shehabi S A, Hoffmann M, et al.Intelligent Patent Analysis through the Use of a Neural Network: Experiment of Multi-viewpoint Analysis with the MultiSOM model.Proceedings of the ACL-2003 Workshop on Patent Corpus Processing, 2003: 7-23
[83] Fattor M, Pedrazzi G,Turra R.Text mining applied to patent mapping: a Practical Business Case.World Patent Information, 2003(25): 335-342
[84] Doi H, Seki Y, Aono M . A Patent Retrieval Method Using a Hierarchy of Clusters at TUT[A].Proceeding of the 5th NTCIR Workshop Meeting on Evaluation of Information Access Technologies, Tokyo, December, 2005: 403-406
[85] Larkey L S.Some Issues in the Automatic Classification of U.S. Patents.AAAI-98 Workshop on Learning for Text Categorization, Menlo Park,1998: 87-90
[86] Larkey L S.A Patent Search and Classification System. Proceedings of the 4th ACM conference on Digital Libraries, Berkeley, 1999:179-187
[87] Larkey L S, Connell M E, Callan J.Collection Selection and Results Merging with Topically Organized US Patents and TREC Data.Proceedings of the 9th International Conference on Information and Knowledge Management (CIKM).Washington D.C., 2000: 282-289
[88] Fall C J, Torcsvári A, Benzineb K, et al.Automated Categorization in the International Patent Classification [J].ACM SIGIR Forum, 37(1), 2003: 10-25
[89] Trappey A J C, Hsu F C, Trappey C V, et al.Development of a Patent Document Classification and Search Platform Using a Back-propagation Network.Expert Systems with Applications.2006(31): 755-765
[90] Lai, K K, Wu S J.Using the Patent Co-citation Approach to Establish a New Patent Classification System.Information Processing & Management, 2005, 41(2): 313-330
[91] Iwayama M, Fujii A, Kando N.Overview of Patent Retrieval Task at NTCIR-3 [A].ACL-2003 Workshop on Patent Corpus Processing, Sappor , 2003: 24-32
[92] Li Y, Bontcheva K, Cunningham H . SVM Based Learning System for F-term Patent Classification[A].Proceedings of the sixth NTCIR Workshop Meeting on Evaluation of Information Access Technologies. Tokyo, 2007: 15-18
[93] Bay Y M.Development and Applications of Patent Map in Korean High-Tech Industry.The first Asia-Pacific Conference on Patent Maps, Taipei, China, 2003: 3-23
[94] Thomson Reuters. Aureka. http://scientific.thomsonreuters.com /media /gmscorppdfs /aureka.pdf, March, 2008
[95] http://www.cas.org/products/anavist/index.html, March, 2008
[96] http://www.thevantagepoint.com/, March, 2008
[97] http://www.invention-machine.com, March, 2008
[98]暴海龙,李金林.专利检索中的IPC和主题词识别方法研究.北京理工大学学报,2003(5):74-76
[99]郭炜强,戴天,文贵华.基于领域知识的专利自动分类.计算机工程,2005,31(23):52-54
[100]杨春亮.模糊逻辑的专利数据层次分类研究[硕士学位论文],2008
[101]刘玉琴,桂捷,朱华东.基于IPC知识结构的专利自动分类方法.计算机工程,2008,34(3):207-209
[102]蔡文沁,彭培林,姜寿山.航空产品设计知识的表示与重用技术研究.计算机集成制造系统CIMS,2004,10(1):55-58
[103] Mueller G. Accurately and Rapidly Predicting Next-generation Product Breakthrough in The Medical-Devices, Disposable Shaving Systems, And cosmetic Industries, TRIZ Journal, March 1999
[104]中华人们共和国专利法.天津水产.2001(3):42-45
[105]方曙.基于专利信息分析的技术创新能力研究[博士学位论文].成都:西南交通大学,2007
[106]杜昂.面向产品创新设计的语义关键词专利检索方法[硕士学位论文].大连:大连理工大学,2009
[107] Fayyad U M, Piatesky-Shapiro G., Smyth P, et al.From Data Mining to Knowledge Discovery: An Overview,Advances in Knowledge Discovery and Data Mining.AAAI/MIT Press, Cambridge, Mass.,1996: 1-36
[108]陈安,陈宁,周龙骧等.数据挖掘技术及应用.北京:科学出版社,2006
[109]胡侃,夏绍玮.基于大型数据仓库的数据采掘.软件学报,1998,9(1):53-61
[110]卢美律.数据库里的知识发现.科学,1997,49(6):25-28
[111] Keogh E, Kasetty S.On the need for time series data mining benchmarks: a survey and empirical demonstration.Data Mining and Knowledge Discovery, 2003, 7(4): 349-371
[112] Hearst M A . Text Data Mining: Issues, Techniques, and the Relationship to Information Access.Presentation Notes for UM/MS Workshop on Data Mining, July, 1997
[113] Feldman R, Dagan I.Knowledge discovery in textual databases(KDT).Proceedings of the First International Conference on Knowledge Discovery and Data Mining(KDD-95),Montreal, Canada, August ,1995, AAAI Press: 112-117
[114] Kodratoff Y.Knowledge Discovery in Texts: A Definition, and Applications.Foundations of Intelligent Systems 11th International Symposium, Proceedings ISMIS’99, Warsaw, Poland, June, 1999: 16-29
[115] Quek C Y.Classification of World Wide Web Documents [Dissertation].School of Computer Science, Carnegie Mellon University, 1997
[116] Robertson S E, Spark-Jones K.Relevance Weighting of Search Terms.Journal of the American Society for Information Science, 1976, 27(3): 129-146.
[117] Salton G, Lest M E.Computer Evaluation of Indexing and Text Processing.Association for Computing Machinery, 1968, 15(1): 8-36
[118]陈晓云.文本挖掘若干关键技术研究[博士学位论文].浙江:复旦大学,2005
[119] Porter M F.An Algorithm for Suffix Striping.Program, 1980, 14(3): 130-137
[120] Dawson J.Suffix Removal and Word Conflation.ALLC Bulletin, 1974, 2(3): 56-61
[121] Paice C D.Another Stemmer.ACM SIGIR Forum, 1990, 24(3): 56-61
[122] Krovetz R.Viewing morphology as an inference process.Proceeding of the sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1993, 191-202
[123] Ho T K.Stop Word Location and Identification for Adaptive Text Recognition.International Journalon Document Analysis and Recognition, 2000, 3(1): 16-26
[124] Lewis D D.Feature Selection and Feature Extract ion for Text Categorization.Proceedings of Speech and Natural Language Workshop, Morgan Kaufmann, Harriman, CA, 1992: 212-217.
[125] Liu H, Setiono R.A Probabilistic Approach to Feature Selection-a Filter Solution.Proceedings of the 13th International Conference on Machine Learning ICML’97, Morgan Kaufmann, San Francisco, CA, 1996: 319-327
[126] Mladenic D, Grobelnik M.Feature Selection on hierarchy of web documents.Decision Support Systems, 2003, 35: 45-87
[127] Yang Yiming, Pedersen J O . A Comparative Study on Feature Selection in Text Categorization.Proceeding of ICML97, 14th International Conference on Machine Learning, Nashville, US, 1997: 412-420
[128] Yang Y.Evaluation of Statistical Approaches to text Categorization.Information Retrieval, 1999, 1(1-2): 69-90
[129] Nigam k, McCallum A, Thrun S, et al.Learning to Classify Text Labeled and Unlabeled Documents.Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI 998), 1998: 792-799
[130] Yair Even-Zohar.Introduction to Text Mining[Dissertation].University of Illinois, 2002
[131] Curt E.Patent Information from the EPO in 2005—Recent Developments and Future Plans.World patent information, 2005, 28(2): 112-116
[132]任工昌,刘永红,张优云.产品创新的基础:获取新知识的资源——专利.机械制造,2003,42(462):7-9
[133] Kivenson G.The Art and Science of Invention.New York,Van Nostrand Reinhold,1982
[134] Hubka Vladimir, Eder W.Ernst.Theory of Technical of Systems: A Total Concept Theory for Engineering Design.Berlin-New York,Springer Ver2lag, 1988: 291
[135]何新贵.知识处理与专家系统.北京:国防工业出版社,1990
[136] Vlaanderen M J.Automated Knowledge Acquisition for Expert Systems: an Overview.Faculty of Philosophy, Erarmus University Rotterdam, 1990
[137]何应钦,王申康.机器学习与知识获取.浙江,浙江大学出版社, 1997
[138]谢友柏.现代设计与知识获取.中国机械工程,1996,7(6): 36-41
[139]郑称德.TRIZ理论及其设计模型.管理工程学报,2003,17(1): 84-87
[140] Domb Ellen.QFD and TIPS/TRIZ.http://www.triz-journal.com/archives/1998/06/c /index.htm, June, 1998
[141] Victor R F, Eugene I R.Guided Technology Evolution.http://www.trizgroup.com /article2.htm, May, 2007
[142] Raymond V.International Investment and International Trade in the Product Cycle.Quarterly Journal of Economics, 1966, 80(2): 190–207
[143] Michael W F.Improved Selection of Technically Attractive Projects Using Knowledge Management and Net Interactive Tools[Dissertation],MIT, 2000, 6: 9
[144] Savransky S D.Engineering of Creativity.New York: CRC Press, 2000
[145] Domb E, Managing Creativity for Project Success, First Published in the Proceedings of the 7th Project Leadership Conference, June, 2000
[146]张青华.基于TRIZ的技术进化理论研究及工程应用[硕士学位论文].天津:河北工业大学,2003
[147] Boris Zlotin, Alla Zusman.Directed Evolution Philosphy, Theory and Practice.San Francisco: Ideation International Inc., 2001, 3: 40-48
[148] Petrov V.The Law of System Evolution.http://www.triz-journal.com/archives/2002/03/c/ index.htm, Mar.,2002
[149] Sediel A.A Citation system for Patent Office.Journal of the Patent Office Society, 1949(31)
[150] Mogee M E.Using Patent for Technology Analysis and Planning.Research Technology Management, 1991, 34(4)
[151] Michael W F.Improved Selection of Technically Attractive Projects Using Knowledge Management and Net Interactive Tools[Dissertation],MIT, 2000(6): 9
[152] Bronwyn H H, Adam B J, Manuel T.The NBER Patent Citations Data Files: Lessons, Insights and Methodological Tools [EB/OL].http://www.nber.org/papers,April, 2010
[153] SCHANKERMAN M, PAKES A.Estimates of the Value of Patent Rights in European CountriesDuring the Post-1950 Period.The Economic Journal, December, 1986: 1052-1076
[154] Ariel Pakes,Mark Schankerman.The Rate of Obsoleseence of Patents,Research Gestation Lags,and the Private Rate of Return to Research Resourees.R&D,Patents and Productivity.1984,P73-88
[155]杨源泉.阀门设计手册.北京:机械工业出版社,1992
[156]郝承明.蝶阀技术的新进展.阀门,2001,5:32~34
[157] Chen L, Rokuda N,Lian C, et al. A Patent Document Retrieval System Addressing Both Semantic and Syntactic Properties.ACL Workshop on Patent Corpus Processing, 2003: 1-6
[158] Tseng Y H, Lin C J, Lin Y I.Text Mining Techniques for patent analysis.Information Processing and Management, 43(5), 2007: 1216-1247
[159] Stop Word List-words Filtered Out by Search Engine Spiders[EB/OL] . http:// www.seo-innovation.com /support files /stopwordlist.pdf, June, 2009
[160] Yang Y, Pedersen J O.A Comparative Study on Feature Selection in Text Categorization.Proceeding of ICML97, 14th International Conference on Machine Learning, Nashville, US, 1997: 412-420
[161] Hotho A, Nürnberger A., Paa? G..A Brief Survey of Text Mining.GLDV-Journal for Computational Linguistics and Language Technologie.20(1), 2005: 19-62
[162] Makoto Iwayama, Takenobu, Tokunaga.Cluster-based Text Categorization: a Comparison of Category Search Strategies.Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1995: 273–280
[163] Yang Y.A evaluation of statistical approaches to text categorization.Information Retrieval, 1999, 1(1-2): 69-90
[164] Cover T M, Hart P E.Nearest neighbor pattern classification.IEEE Transactions on Information Theory, 1968, 13(1): 21-27
[165] Lewis D D, Ringuette M.A Comparison of Two Learning Algorithms Categorization.In Third Annual Symposium on Document Analysis and IR, ISRI, Las Vegas, 1994
[166] Lewis D D.Naive (Bayes) at forty: The Independence Assumption Information Retrieval.Machine Learning: ECML-98, the 10th European Conference on Machine Learning, 1998: 4-15
[167] McCallum A, Nigam k . A Comparison of Event Models for Naive Bayes Text Classification . Procceedings of the Seventh International Symposium on Computers and Communications, 2002: 1034-1039.
[168] VanRijsbergen C J.Information Retrieval.London: Butterworths, 1979
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |