Journal on Communications ›› 2016, Vol. 37 ›› Issue (3): 79-89.doi: 10.11959/j.issn.1000-436x.2016055
• Academic paper • Previous Articles Next Articles
Bin LIU1,2,Ling FENG1,Fei WANG1,Zhi-yong PENG1,2
Online:
2016-03-25
Published:
2017-08-04
Supported by:
Bin LIU,Ling FENG,Fei WANG,Zhi-yong PENG. Patent search and analysis supporting technology innovation[J]. Journal on Communications, 2016, 37(3): 79-89.
[1] | State Intellectual Property Office of PRC.2014 key IP5 statistical data[EB/OL]. . |
[2] | State Intellectual Property Office of PRC.2013 key IP5 statistical data[EB/OL]. . |
[3] | State Intellectual Property Office of PRC.2012 key IP5 statistical data[EB/OL]. . |
[4] | CHEN C . Searching for intellectual turning points:progressive know-ledge domain visualization[J]. PNAS, 2004,1011(Suppll): 5303-5310. |
[5] | 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. |
[6] | FUJII A , ISHIKAWA T . NTCIR-3 patent retrieval experiments at ULIS[C]// NII Test Collection for IR Systems-3. c2002:1-6. |
[7] | 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. c2004:1643-1646. |
[8] | 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, c2007:359-365. |
[9] | WU S , SUN J , TANG J . Patent partner recommendation in enterprise social networks[C]// WSDM. Rome,Italy, c2013:43-52. |
[10] | JIN X , SPANGLER S , CHEN Y , et al. Patent maintenance recom-mendation with patent information network model[C]// ICDM. Vancouver,Canada, c2011:280-289. |
[11] | MANNING C , RAGAVAN P , SCHUTZE H . An introduction to in-formation retrieval[M]. London: Cambridge University Press, 2009. |
[12] | MAGDY W , JONES G . PRES:a score metric for evaluating re-call-oriented information retrieval applications[C]// SIGIR. Geneva,Switzerland, c2010:611-618. |
[13] | HIDEO I , HIROKO M , YASUSHI O . Term distillation in patent re-trieval[C]// The ACL-2003 Workshop on Patent Corpus. c2013:41-45. |
[14] | 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. c2009:497-501. |
[15] | VARMA M , VARMA V . Applying key phrase extraction to aid inva-lidity search[C]// International Conference on Artificial Intelligence and Law. Pittsburgh,PA, c2011:249-255. |
[16] | KONISHI K . Query terms extraction from patent document for inva-lidity search[C]// NTCIR-5 Workshop Meeting. Tokyo,Japan, c2005. |
[17] | MAHDABI P , ANDERSSON L , Keikha M , et al. Automatic refine-ment of patent queries using concept importance predictors[C]// SIGIR. Portland,USA, c2012:505-514. |
[18] | 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, c2004:399-405. |
[19] | ADAMS S . Comparing the IPC and the US classification systems for the patent searcher[J]. World Patent Information, 2001,23(l): 15-23. |
[20] | 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, c2013:113-122. |
[21] | GANGULY D , LEVELING L , MAGDY W , et al. Patent query reduc-tion based on pseudo-relevant documents[C]// CIKM. Glasgow,Scot-land,UK, c2011:1953-1956. |
[22] | MAGDY W , JONES G . A study on query expansion methods for pa-tent retrieval[C]// PAIR. c2011:19-24. |
[23] | KRESTEL R , SMYTH P . Recommending patents based on latent topics[C]// Recommender Systems. c2013:395-398. |
[24] | MAHDABI P , CRESTANI F . Query-driven mining of citation net-works for patent citation retrieval and recommendation[C]// CIKM. Shanghai,China, c2014:1659-1668. |
[25] | HIRONORI D , YOHEI S , et al. A patent retrieval method using a hierarchy of clusters at TUT[C]// NTCIR-5 Workshop Meeting. Tokyo,Japan, c2006. |
[26] | 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, c2012:2603-2606. |
[27] | BASHIR S , AUBER A . Analyzing document retrievability in patent retrieval settings[C]// DEXA. c2009:753-760. |
[28] | BASHIR S , AUBER A . Improving retrievability of patents in prior-art search[C]// ECIR. Dublin,Ireland, c2010:457-450. |
[29] | 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, c2013:2291-2296. |
[30] | HUANG W , KATARIA S , CARAGEA C , et al. Recommending cita-tions:translating papers into references[C]// CIKM. Maui,HI,USA, c2012:1910-1914. |
[31] | XUE X , CROFT W . Automatic query generation for patent search[C]// CIKM. Hong Kong,China, c2009:2037-2040. |
[32] | 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. |
[33] | CHEN X , PENG Z , ZENG C . A co-training based method for chinese patent semantic annotation[C]// CIKM. Maui,HI,USA, c2012:2379-2382. |
[34] | LIU D , PENG Z , LIU B . Technology effect phrase extraction in Chi-nese patent abstracts[C]// APWeb. Changsha,China, c2014:141-152. |
[35] | 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. c2013:405-408. |
[36] | HASAN M A , SPANGLER S , GRIFFIN T , et al. COA:finding vel patents through text analysis[C]// SIGKDD. Paris,France, c2009:1175-1184. |
[37] | ZHANG L H , LI L , LI T , et al. PatentLine:analyzing technology evolution on multi-view patent graphs[C]// SIGIR. Boston,Massachu-setts,USA, c2014:1095-1098. |
[38] | ZHANG L H , LI L , LI T , et al. PatentDom:analyzing patent relation-ships on multi-view patent graphs[C]// CIKM. Shanghai,China, c2014:1369-1378. |
[39] | 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. |
[40] | BNEGIO Y , DUCHARME R , VINCENT P , et al. A neural probabilis-tic language model[J]. Journal of Machine Learning Research, c2009:1137-1155. |
[41] | WANG M X , LU Z D , LI H , et al. GenCNN:a convolutional architec-ture for word sequence prediction[C]// ACL. c2015. |
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