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Research Progress on Construction of Patent Technology-effect Matrix |
Chen Ying1, Zhang Xiaolin2 |
1. Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China;
2. National Science Library, Chinese Academy of Sciences, Beijing 100190, China |
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Abstract This paper discusses and analyzes the current research status from the following three aspects: the construction process and lexical source of the matrix; the definition, differentiation and extraction of the technical and effect words in patents; words clustering and the generation of matrix structure. Then, it points out the problems and challenges of current research.
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Received: 09 October 2011
Published: 06 January 2012
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[1] 曾元显. 专利文字之知识探勘:技术与挑战 .见: 淡江大学资讯与图书馆学系.现代资讯组织与检索研讨会, 台北. 2004.[2] 高佐良. 专利资料检索与应用 .http://www.wendang365.cn/view/469301.[3] 百度百科. 鱼骨图 .http://baike.baidu.com/view/1088642.html.[4] 赖士焕. 专利分析与专利地图制作实务 . http://www.nkut.edu.tw/filectrl/%E5%B0%88%E5%88%A9%E5%88%86%E6%9E%90%E8%88%87%E5%B0%88%E5%88%A9%E5%9C%B0%E5%9C%96%E8%A3%BD%E4%BD%9C%E5%AF%A6%E5%8B%99.pdf.[5] 王圣顺. 专利文件之专利技术特性及功能知识分析法 . 台湾: 国立台湾科技大学, 2006.[6] 李建蓉. 专利信息与利用[M]. 北京: 知识产权出版社, 2006.[7] JPO. JPO FI、F-term .http://www.jpo.go.jp/index_e/activities.html.[8] PATOLIS. F-term -Carbon, Compounds of Carbon .http://search.p4.patolis.co.jp/fterm_table_en/s_f_oya.html.[9] 陈燕, 黄迎燕, 方建国. 专利信息采集与分析[M]. 北京: 清华大学出版社, 2006: 136.[10] NTCIR. The 7th NTCIR Workshop (2007/2008) . http://research.nii.ac.jp/ntcir/ntcir-ws7/ws-en.html.[11] NTCIR. PATENT Retrieval Task (PATENT) .http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings4/index.html.[12] 黄海. 门座起重机的功能技术矩阵[J]. 起重运输机械, 2005(3): 34-35.[13] 陈明原. 应用贝氏理论及模糊逻辑进行专利分类及TRIZ方法改善之研究 .http://fedetd.mis.nsysu.edu.tw/FED-db/cgi-bin/FED-search/view_etd?identifier=oai:pc01.lib.ntust.edu.tw:1793:etd-0730106-184918.[14] 陈冠帆. 应用贝氏理论及TRIZ方法于动力手工具之专利创研系统之研究 .http://wr.ntust.edu.tw/student/student.aspx?sname=%E9%99%B3%E5%86%A0%E5%B8%86.[15] 杨清亮. 发明是这样诞生的——TRIZ理论全接触[M]. 北京: 机械工业出版社,2006: 169.[16] CREAX. CREAX Function Database .http://function.creax.com/.[17] More Inspiration . http://www.moreinspiration.com/search?q=&title=&desc=&t=automotive&pt=&f=&from=1+jan+0001.[18] 张惠, 邱清盈, 冯培恩,等. 产品专利设计知识获取方法研究[J]. 哈尔滨工程大学学报, 2009,30(7): 785-791.[19] Tseng Y H, Lin C J, Lin Y I. Text Mining Techniques for Patent Analysis[J]. Information Processing & Management, 2007,43(5): 1216-1247.[20] 林士能.专利文件语意之撷取与比对 .台湾:国立清华大学,2003.[21] Cascini G, Lucchesi D, Rissone P. Automatic Patents Functional Analysis Through Semantic Processing .In: Proceedings of the the 12th ADM International Conference,Italy.2001.[22] 刘翰卿. 基于SAO结构之中文专利文件自动摘要技术研究 . 台湾: 国立交通大学, 1993.[23] Shinmori A, Okumura M, Marukawa Y, et al. Rhetorical Structure Analysis of Japanese Patent Claims Using Cue Phrases .In: Proceedings of the 3rd NTCIR Workshop. 2002.[24] MUC.MUC 7 Proceedings .http://www.itl.nist.gov/iaui/894.02/related_projects/muc/proceedings/muc_7_toc.html.[25] NIST. ACE Evaluation .http://www.itl.nist.gov/iad/mig//tests/ace/.[26] 史东娜. 基于半监督学习的特定领域术语抽取算法的研究 . 北京: 北京邮电大学, 2009.[27] Hulth A. Improved Automatic Keyword Extraction Given More Linguistic Knowledge .http://acl.ldc.upenn.edu/W/W03/W03-1028.pdf.[28] Revere D, Fuller S, Bugni P F, et al. An Information Extraction and Representation System for Rapid Review of the Biomedical Literature . http://cmbi.bjmu.edu.cn/news/report/2004/medinfo2004/pdffiles/papers/4511revere.pdf.[29] Sarkar K. Using Domain Knowledge for Text Summarization in Medical Domain[J]. International Journal of Recent Trends in Engineering, 2009,1(1): 200-205.[30] Todirascu A, Romary L, Bekhouche D. Combining Syntax & Ontologies for Information Extraction .http://hal.inria.fr/inria-00101016/en/.[31] Chan S W K. Beyond Keyword and Cue-Phrase Matching: A Sentence-based Abstraction Technique for Information Extraction[J]. Decision Support Systems, 2006,42(2): 759-777.[32] 杨陟卓, 韩燮. 一种基于特征抽取的文档信息过滤算法研究[J]. 现代图书情报技术, 2008(4): 29-34.[33] 仲兆满, 刘宗田. 基于两级概念格的信息抽取的研究[J]. 江西师范大学学报:自然科学版, 2008,32(2): 179-183.[34] 邓擘, 郑彦宁, 樊孝忠. 汉语信息抽取中事件的定位与分类[J]. 情报理论与实践, 2009,32(10): 104-107.[35] 刘磊. 面向专利的双语术语自动抽取研究 . 沈阳: 沈阳航空工业学院, 2009.[36] 姜彩红, 乔晓东, 朱礼军. 基于本体的专利摘要知识抽取[J]. 现代图书情报技术, 2009(2): 23-28.[37] 吕祥惠, 仇宝艳, 乔鸿. 基于本体的专利知识发现体系研究[J]. 计算机与信息技术, 2008(7): 43-49.[38] Hui B, Yu E. Extracting Conceptual Relationships from Specialized Documents[J]. Data & Knowledge Engineering,2005,54(1):29-55.[39] Yang S Y, Lin S Y, Lin S N, et al. Automatic Extraction of Semantic Relations from Patent Claims[J]. International Journal of Electronic Business Management, 2008,6(1): 45-54.[40] Cascini G, Fantechi A, Spinicci E. Natural Language Processing of Patents and Technical Documentation[J]. Lecture Notes in Computer Science, 2004,3163: 89-92.[41] Parapatics P, Dittenbach M. Patent Claim Decomposition for Improved Information Extraction .http://portal.acm.org/citation.cfm?id=1651343.1651351.[42] Invention Machine Corporation. Invention Machine Ships Knowledgist, the First Semantic Reader for Analyzing Technical Knowledge . http://www.thefreelibrary.com/Invention+Machine+Ships+Knowledgist, +the+First+Semantic+Reader+for...-a060056951.[43] Sheremetyeva S. An Efficient Patent Keyword Extractor as Translation Resource .http://www.mt-archive.info/MTS-2009-Sheremetyeva.pdf.[44] 李勇. 基于聚类方法对特定领域术语的自动筛选[J]. 计算机工程与科学, 2008,30(2): 64-66,134.[45] Saha S K, Mitra P, Sarkar S. Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER . In:Proceedings of ACL-08,Columbus, Ohio. 2008: 488-495.[46] Han H, Manavoglu E, Zha H. Rule-based Word Clustering for Document Metadata Extraction .http://portal.acm.org/citation.cfm?id=1066677.1066917.[47] Khelif K,Hedhili A, Collard M. Semantic Patent Clustering for Biomedical Communities .In: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology,Sydney.2008:419-422.[48] Sedding J, Kazakov D. WordNet-based Text Document Clustering . http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.62.5822&rep=rep1&type=pdf.[49] Chow I C, Webster J J. Supervised Clustering of the WordNet Verb Hierarchy for Systemic Functional Process Type Identification .In: Proceedings of the the 1st International Conference on Global Interoperability for Language Resources, Hong Kong.2008:51-58.[50] Recupero D R. A New Unsupervised Method for Document Clustering by Using WordNet Lexical and Conceptual Relations[J]. Inf Retrieval, 2007,10(6): 563-579.[51] Passos A, Wainer J. WordNet-based Metrics Do Not Seem to Help Document Clustering . http://www.ic.unicamp.br/~tachard/docs/wncluster.pdf.[52] 杜慧平,何琳. 基于聚类的词表等级关系自动识别研究[J]. 情报科学, 2008,26(11): 1680-1683.[53] 张琪玉. 字面相似聚类法辅助构造词族表、分面类表和自动标引[J]. 图书馆论坛 , 2002,22(5): 95-96.[54] 仲云云. 电子政务主题词表的构建及应用研究 . 南京: 南京农业大学, 2007.[55] Dhillon I S, Mallela S, Kumar R. Enhanced Word Clustering for Hierarchical Text Classification .http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.108.6650&rep=rep1&type=pdf.[56] Grant J W. “New Tools for Patent Trend Recognition”An Introduction to Thomson Data Analyzer .http://units.sla.org/division/dche/2006/grant.pdf.[57] 恒库软件公司. 恒库软件使用说明 .http://www.all-patent.com/product/product.html.[58] 台湾连颖公司. 连颖PatentTech介绍 .http://www.ltc.tw/products/pt/pt_function.aspx. |
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