[1] BAGGA A, BALDWIN B. Entity-based cross-document coreferencing using the vector space model[C]//Proceedings of the 17th international conference on computational linguistics-Volume 1. Association for Computational Linguistics, Montreal, Quebec, Canada, 1998:79-85. [2] HAN X, SUN L, ZHAO J. Collective entity linking in web text:a graph-based method[C]//Proceedings of the 34th international ACM SIGIR conference on research and development in information retrieval. ACM, Beijing, China, 2011:765-774. [3] RAO D, MCNAMEE P, DREDZE M. Entity linking:finding extracted entities in a knowledge base[M]. Multi-source, multilingual information extraction and summarization. Springer Berlin Heidelberg, 2013:93-115. [4] BHATTACHARYA I, GETOOR L. Collective entity resolution in relational data[J]. ACM Transactions on knowledge discovery from data (TKDD), 2007, 1(1):1-36. [5] CHRISTEN P. A survey of indexing techniques for scalable record linkage and deduplication[J]. IEEE transactions on knowledge and data engineering, 2012, 24(9):1537-1555. [6] 谭明超, 刁兴春, 曹建军.实体分辨研究综述[J]. 计算机科学, 2014, 41(4):9-12, 20. [7] 高广尚, 张智雄. 关系数据库中实体解析研究综述[J]. 现代图书情报技术, 2015, 31(Z1):37-47. [8] 燕彩蓉, 张洋舜, 徐光伟.支持隐私保护的众包实体解析[J]. 计算机科学与探索, 2014, 8(7):802-811. [9] 楼俊杰, 徐从富, 郝春亮.基于马尔科夫逻辑网络的实体解析改进算法[J]. 计算机科学, 2010, 37(8):243-247. [10] BARTUNOV S, KORSHUNOV A, PARK S T, et al. Joint link-attribute user identity resolution in online social networks[C]//Proceedings of the 6th International Conference on Knowledge Discovery and Data Mining, Workshop on Social Network Mining and Analysis. ACM, Beijing, China, 2012:1-9. [11] LIU J, ZHANG F, SONG X, et al. What's in a name?:an unsupervised approach to link users across communities[C]//Proceedings of the sixth ACM international conference on Web search and data mining. ACM, Rome, Italy, 2013:495-504. [12] VOSECKY J, HONG D, SHEN V Y. User identification across multiple social networks[C]//First International Conference on IEEE, Ostrava, 2009:360-365. [13] ZHANG H, KAN M Y, LIU Y, et al. Online social network profile linkage[C]//Asia Information Retrieval Symposium. Springer International Publishing, AIRS, 2014:197-208. [14] ZAFARANI R, LIU H. Connecting users across social media sites:a behavioral-modeling approach[C]//Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, Chicago, Illinois, USA, 2013:41-49. [15] 甄灵敏, 杨晓春, 王斌, 等.基于属性权重的实体解析技术[J]. 计算机研究与发展, 2013, 50(S1):281-289. [16] BHATTACHARYA I, GETOOR L. Iterative record linkage for cleaning and integration[C]//Proceedings of the 9th ACM SIGMOD workshop on research issues in data mining and knowledge discovery. ACM, Paris, France, 2004:11-18. [17] ANANTHAKRISHNA R, CHAUDHURI S, GANTI V. Eliminating fuzzy duplicates in data warehouses[C]//Proceedings of the 28th international conference on Very Large Data Bases. VLDB Endowment, Hong Kong, China, 2002:586-597. [18] KALASHNIKOV D V, MEHROTRA S, CHEN Z. Exploiting Relationships for Domain-Independent Data Cleaning[C]//SIAM International Conference on Data Mining(SDM). 2005:262-273. [19] GETOOR L, DIEHL C P. Link mining:a survey[J]. ACM SIGKDD explorations newsletter, 2005, 7(2):3-12. [20] PELED O, FIRE M, ROKACH L, et al. Entity matching in online social networks[C]//2013 International Conference on Social Computing (SocialCom).IEEE, 2013:339-344. [21] COHEN W, RAVIKUMAR P, FIENBERG S. A comparison of string metrics for matching names and records[C]//Proceedings of the IJCAI-2003 Workshop on Information Integration on the Web. 2003, 3:73-78. [22] JOACHIMS T. Making large-scale support vector machine learning practical[C]//Advances in kernel methods. MIT Press, 1999:169-184. [23] CAMPBELL W M, LI L, DAGLI C, et al. Cross-Domain Entity Resolution in Social Media[J]. The 4th International Workshop on Natural Language Processing for Social Media, 2016:1-7. |