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1. 武汉大学计算机学院,湖北 武汉430072
2. 武汉大学软件工程国家重点实验室,湖北 武汉430072
[ "刘斌(1975-),男,江苏泰兴人,博士,武汉大学讲师,主要研究方向为复杂数据管理、数据挖掘等。" ]
[ "冯岭(1986-),男,河南郑州人,武汉大学博士生,主要研究方向为专利分析与挖掘等。" ]
[ "王飞(1989-),男,江苏连云港人,武汉大学博士生,主要研究方向为专利检索、分析和挖掘。" ]
[ "彭智勇(1963-),男,湖北武汉人,武汉大学教授、博士生导师,主要研究方向为复杂数据、可信数据和 Web数据管理。" ]
网络出版日期:2016-03,
纸质出版日期:2016-03-25
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刘斌, 冯岭, 王飞, 等. 支持技术创新的专利检索与分析[J]. 通信学报, 2016,37(3):79-89.
Bin LIU, Ling FENG, Fei WANG, et al. Patent search and analysis supporting technology innovation[J]. Journal on communications, 2016, 37(3): 79-89.
刘斌, 冯岭, 王飞, 等. 支持技术创新的专利检索与分析[J]. 通信学报, 2016,37(3):79-89. DOI: 10.11959/j.issn.1000-436x.2016055.
Bin LIU, Ling FENG, Fei WANG, et al. Patent search and analysis supporting technology innovation[J]. Journal on communications, 2016, 37(3): 79-89. DOI: 10.11959/j.issn.1000-436x.2016055.
介绍了目前专利检索和分析的主要研究工作,包括专利的可检索性、技术现状检索和相关性检索方法等,以及专利地图分析、新颖度分析和PatentDom专利分析框架等分析方法。最后基于深度学习的思想,讨论了新一代的支持技术创新的专利检索方法、专利论文检索方法以及专利趋势分析方法。
The main research work of patent search and analysis were summarizes.The patent search includes patentabil-ity search
prior art search
and query expansion.And the patent analysis includes patent map
novelty analysis
and a new analysis framework named PatentDom.Finally
based on the idea of deep learning
three new methods of patent search and analysis are put forward.
State Intellectual Property Office of PRC.2014 key IP5 statistical data [EB/OL ] . http://www.sipo.gov.cn/tjxx/wjndbg/201507/P020150707534432342721.pdf http://www.sipo.gov.cn/tjxx/wjndbg/201507/P020150707534432342721.pdf .
State Intellectual Property Office of PRC.2013 key IP5 statistical data [EB/OL ] . http://www.sipo.gov.cn/tjxx/wjndbg/201509/P020150901583608432123.pdf http://www.sipo.gov.cn/tjxx/wjndbg/201509/P020150901583608432123.pdf .
State Intellectual Property Office of PRC.2012 key IP5 statistical data [EB/OL ] . http://www.sipo.gov.cn/tjxx/2012tjbgen.pdf http://www.sipo.gov.cn/tjxx/2012tjbgen.pdf .
CHEN C . Searching for intellectual turning points:progressive know-ledge domain visualization [J ] . PNAS , 2004 , 1011 ( Suppll ): 5303 - 5310 .
ERDI P , MAKOVI M , SOMOGYVARI Z , et al . Prediction of Emerg-ing technologies based on analysis of the US patent citation network [J ] . Scientometrics , 2013 , 95 ( l ): 225 - 242 .
FUJII A , ISHIKAWA T . NTCIR-3 patent retrieval experiments at ULIS [C ] // NII Test Collection for IR Systems-3 . c 2002 : 1 - 6 .
FUJII A , ISHIKAWA T , KANDO N . Test collections for ptent-to-ptent rtrieval and ptent map generation in NTCIR-4 workshop [C ] // The 4th International Conference on Language Resources and Eva uation . c 2004 : 1643 - 1646 .
FUJII A , ISHIKAWA T , KANDO N . Overview of the patent retrieval task at the NTCIR-6 workshop [C ] // NII Test Collection for IR Sys-tems-6 . Tokyo,Japan , c 2007 : 359 - 365 .
WU S , SUN J , TANG J . Patent partner recommendation in enterprise social networks [C ] // WSDM . Rome,Italy , c 2013 : 43 - 52 .
JIN X , SPANGLER S , CHEN Y , et al . Patent maintenance recom-mendation with patent information network model [C ] // ICDM . Vancouver,Canada , c 2011 : 280 - 289 .
MANNING C , RAGAVAN P , SCHUTZE H . An introduction to in-formation retrieval [M ] . London : Cambridge University Press , 2009 .
MAGDY W , JONES G . PRES:a score metric for evaluating re-call-oriented information retrieval applications [C ] // SIGIR . Geneva,Switzerland , c 2010 : 611 - 618 .
HIDEO I , HIROKO M , YASUSHI O . Term distillation in patent re-trieval [C ] // The ACL-2003 Workshop on Patent Corpus . c 2013 : 41 - 45 .
VERBERNE S , HONDT E D . Prior art retrieval using the claims section as a bag of words [C ] // The Cross-language Evaluation Forum Conference on Multilingual Information Access Evaluation:Text Re-trieval Experiments . c 2009 : 497 - 501 .
VARMA M , VARMA V . Applying key phrase extraction to aid inva-lidity search [C ] // International Conference on Artificial Intelligence and Law . Pittsburgh,PA , c 2011 : 249 - 255 .
KONISHI K . Query terms extraction from patent document for inva-lidity search [C ] // NTCIR-5 Workshop Meeting . Tokyo,Japan , c 2005 .
MAHDABI P , ANDERSSON L , Keikha M , et al . Automatic refine-ment of patent queries using concept importance predictors [C ] // SIGIR . Portland,USA , c 2012 : 505 - 514 .
TAKAKI T , FUJII A , ISHIKAWA T . Associative document retrieval by query subtopic analysis and its application to inva idity patent search [C ] // CIKM , Washington,USA , c 2004 : 399 - 405 .
ADAMS S . Comparing the IPC and the US classification systems for the patent searcher [J ] . World Patent Information , 2001 , 23 ( l ): 15 - 23 .
MAHDABI P , GERANI S , HUANG J X , et al . Leveraging conceptual lexicon:query disambiguation using proximity informat n for patent retrieval [C ] // SIGIR . Dublin,Ireland , c 2013 : 113 - 122 .
GANGULY D , LEVELING L , MAGDY W , et al . Patent query reduc-tion based on pseudo-relevant documents [C ] // CIKM . Glasgow,Scot-land,UK , c 2011 : 1953 - 1956 .
MAGDY W , JONES G . A study on query expansion methods for pa-tent retrieval [C ] // PAIR . c 2011 : 19 - 24 .
KRESTEL R , SMYTH P . Recommending patents based on latent topics [C ] // Recommender Systems . c 2013 : 395 - 398 .
MAHDABI P , CRESTANI F . Query-driven mining of citation net-works for patent citation retrieval and recommendation [C ] // CIKM . Shanghai,China , c 2014 : 1659 - 1668 .
HIRONORI D , YOHEI S , et al . A patent retrieval method using a hierarchy of clusters at TUT [C ] // NTCIR-5 Workshop Meeting . Tokyo,Japan , c 2006 .
BHATIA S , HE B , HE Q , et al . A scalable approach for performing proximal search for verbose patent search queries [C ] // CIKM . Maui,HI,USA , c 2012 : 2603 - 2606 .
BASHIR S , AUBER A . Analyzing document retrievability in patent retrieval settings [C ] // DEXA . c 2009 : 753 - 760 .
BASHIR S , AUBER A . Improving retrievability of patents in prior-art search [C ] // ECIR . Dublin,Ireland , c 2010 : 457 - 450 .
SOOYOUNG O , ZHEN L , LEE W C , et al . CV-PCR:a context-guided value-driven framework for patent citation recommendation [C ] // CIKM . San Francisco,CA,USA , c 2013 : 2291 - 2296 .
HUANG W , KATARIA S , CARAGEA C , et al . Recommending cita-tions:translating papers into references [C ] // CIKM . Maui,HI,USA , c 2012 : 1910 - 1914 .
XUE X , CROFT W . Automatic query generation for patent search [C ] // CIKM . Hong Kong,China , c 2009 : 2037 - 2040 .
JUN S H , PARK S , SIK J D . Technology forecasting using matrix map and patent clustering [J ] // Industrial Management & Data Systems . 2012 , 112 ( 5 ): 786 - 806 .
CHEN X , PENG Z , ZENG C . A co-training based method for chinese patent semantic annotation [C ] // CIKM . Maui,HI,USA , c 2012 : 2379 - 2382 .
LIU D , PENG Z , LIU B . Technology effect phrase extraction in Chi-nese patent abstracts [C ] // APWeb . Changsha,China , c 2014 : 141 - 152 .
DRAZIC M , KUKOLJ D , VITAS M , et al . Technology matchin of the patent documents using clustering algorithms [C ] // The 14th IEEE International Symposium on Computational Intelligence and Infor-matics . c 2013 : 405 - 408 .
HASAN M A , SPANGLER S , GRIFFIN T , et al . COA:finding vel patents through text analysis [C ] // SIGKDD . Paris,France , c 2009 : 1175 - 1184 .
ZHANG L H , LI L , LI T , et al . PatentLine:analyzing technology evolution on multi-view patent graphs [C ] // SIGIR . Boston,Massachu-setts,USA , c 2014 : 1095 - 1098 .
ZHANG L H , LI L , LI T , et al . PatentDom:analyzing patent relation-ships on multi-view patent graphs [C ] // CIKM . Shanghai,China , c 2014 : 1369 - 1378 .
TADURI S , YU H , LAU G , et al . Developing a comprehensive patent related information retrieval tool [J ] . Journal of Theoretical and Ap-plied Electronic Commerce Research , 2001 , 6 ( 2 ): 1 - 16 .
BNEGIO Y , DUCHARME R , VINCENT P , et al . A neural probabilis-tic language model [J ] . Journal of Machine Learning Research , c 2009 : 1137 - 1155 .
WANG M X , LU Z D , LI H , et al . GenCNN:a convolutional architec-ture for word sequence prediction [C ] // ACL . c 2015 .
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