Page 211 - 《软件学报》2021年第9期
P. 211
吴信东 等:碎片化家谱数据的融合技术 2835
[32] Ji G, Liu K, He S, Zhao J. Distant supervision for relation extraction with sentence-level attention and entity descriptions. In: Proc.
of the Conf. on Artificial Intelligence. Menlo Park: AAAI, 2017. 3060−3066.
[33] Wu F, Weld DS. Autonomously semantifying Wikipedia. In: Proc. of the Conf. on Information and Knowledge Management. New
York: ACM, 2007. 41−50. [doi: 10.1145/1321440.1321449]
[34] Zhao JS, Zhu QM, Zhou GD, Zhang L. Review of research in sutomatic keyword extraction. Ruan Jian Xue Bao/Journal of
Software, 2017,28(9):2431−2449 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/5301.htm [doi: 10.13328/
j.cnki.jos.005301]
[35] Bleiholder J, Naumann F. Data fusion. ACM Computing Surveys, 2008,41(1):1−41. [doi: 10.1145/1456650.1456651]
[36] Zhuang Y, Li GL, Feng JH. A survey on entity alignment of knowledge base. Journal of Computer Research and Development,
2016,53(01):165−192 (in Chinese with English abstract). [doi: 10.7554/issn1000-1239.2016.20150661]
[37] Fellegi I, Sunter A. A theory for record linkage. Journal of the American Statistical Association, 1969,64(328):1183−1210. [doi:
10.1080/01621459.1969.10501049]
[38] Chen Z, Kalashnikov DV, Mehrotra S. Exploiting context analysis for combining multiple entity resolution systems. In: Proc. of the
ACM SIGMOD Int’l Conf. on Management of Data. New York: ACM, 2009. 207−218. [doi: 10.1145/1559845.1559869]
[39] Guan SP, Jin XL, Wang YZ, Jia YT, Shen HW, Li ZX, Cheng XQ. Self-learning and embedding based entity alignment.
Knowledge and Information Systems, 2019,59(2):361−386. [doi: 10.1007/s10115-018-1191-0]
[40] Li YL, Gao J, Meng CS, Li Q, Su L, Zhao B, Fan W, Han JW. A survey on truth discovery. SIGKDD Explorations, 2015,17(2):
1−16. [doi: 10.1145/2897350.2897352]
[41] Dong XL, Gabrilovich E, Heitz G, Horn W, Murphy K, Sun S, Zhang W. From data fusion to knowledge fusion. Proc. of the VLDB
Endowment, 2015,7(10):881−892.
[42] Yin X, Han J, Yu PS. Truth discovery with multiple conflicting information providers on the Web. IEEE Trans. on Knowledge and
Data Engineering, 2008,20(6):796−808. [doi: 10.1109/TKDE.2007.190745]
[43] Lyu S, Ouyang W, Wang YQ, Shen HW, Cheng XQ. Truth discovery by claim and source embedding. In: Proc. of the Conf. on
Information and Knowledge Management. New York: ACM, 2017. 2183−2186. [doi: 10.1109/TKDE.2019.2936189]
[44] Smid J, Neruda R. Comparing datasets by attribute alignment. In: Proc. of the IEEE Symp. on Computational Intelligence and Data
Mining. Piscataway: IEEE, 2014. 56−62. [doi: 10.1109/CIDM.2014.7008148]
[45] Hankcs. HanLP. https://github.com/hankcs/HanLP/tree/1.x
[46] Navarro G. A guided tour to approximate string matching. ACM Computing Surveys, 2001,33(1):31−88. [doi: 10.1145/375360.
375365]
[47] Monge AE, Elkan CP. The field matching problem: Algorithms and applications. In: Proc. of the Conf. on Knowledge Discovery
and Data Mining. Menlo Park: AAAI, 1996. 267−270.
[48] Dong XL, Berti-Equille L, Srivastava D. Integrating conflicting data: The role of source dependence. Proc. of the VLDB
Endowment, 2009,2(1):550−561. [doi: 10.14778/1687627.1687690]
[49] Jia S, Li M, Xiang Y. Chinese open relation extraction and knowledge base establishment. ACM Trans. on Asian and Low-
Resource Language Information Processing (TALLIP), 2018,17(3):15−22. [doi: 10.1145/3162077]
[50] Ownthink. Jiagu. https://github.com/ownthink/Jiagu
[51] Zhu H, Xie RB, Liu ZY, Sun MS. Iterative entity alignment via joint knowledge embeddings. In: Proc. of the Int’l Joint Conf. on
Artificial Intelligence. San Francisco: Morgan Kaufmann Publishers, 2017. 4258−4264. [doi: 10.24963/ijcai.2017/595]
[52] Trisedya BD, Qi J, Zhang R. Entity alignment between knowledge graphs using attribute embeddings. In: Proc. of the Conf. on
Artificial Intelligence. Menlo Park: AAAI, 2019. 297−304. [doi: 10.1609/aaai.v33i01.3301297]
附中文参考文献:
[1] 王元卓,靳小龙,程学旗.网络大数据:现状与展望.计算机学报,2013,36(6):1125−1138. [doi: 0.3724/SP.J.1016.2013.01125]
[3] 湛庐.家谱中的文献问题.北京大学学报(哲学社会科学版),2007,53(1):150−151. [doi: 10.16113/j.cnki.daxtx.2007.01.010]
[4] 黄霄羽.国外家谱档案利用热潮之成因探析及启示.档案学通讯,2007,29(1):30−33.
[5] 武新立.中国的家谱及其学术价值.历史研究,1988,35(6):20−34.
[6] 欧阳康.大数据与人文社会科学研究的变革与创新.光明日报,2016-11-10(016).
[7] 孙建军.大数据时代人文社会科学如何发展.光明日报,2014-07-07(011).