GL-RF： a reconciliation framework for label-free entity resolution  

作　　者：Yaoli XU Zhanhuai LI Qun CHEN Fengfeng FAN 

机构地区：[1]School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China [2]Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University,Ministry of Industry and Information Technology, Xi'an 710129, China

出　　处：《Frontiers of Computer Science》2018年第5期1035-1037,共3页中国计算机科学前沿（英文版）

基　　金：We thank Murtadha Ahmed, Yiyi Li, Ping Zhong, YanyanWang, and Jing Su for their invaluable suggestions. This work was supported by the Ministry of Science and Technology of China, National Key Research and Development Program （2016YFB1000703）, and the National Natural Science Foundation of China （Grant Nos. 61732014, 61332006, 61472321, 61502390, and 61672432）.

摘　　要：1 Introduction Entity resolution （ER）, also referred to as record linkage and entity matching [1], is a long-standing challenge, existing in various data management systems, particularly data integration and cleaning systems. As so often happens, there exist multiple data sources which store duplicate real-world en- tity information in different descriptions, incurred by mis- spellings, typos, diverse name conventions, random usage of the abbreviation or full name, ongoing changes such as in DBpedia, and so forth. The purpose of ER is to determine whether two data records describe the same real-world entity.1 Introduction Entity resolution （ER）, also referred to as record linkage and entity matching [1], is a long-standing challenge, existing in various data management systems, particularly data integration and cleaning systems. As so often happens, there exist multiple data sources which store duplicate real-world en- tity information in different descriptions, incurred by mis- spellings, typos, diverse name conventions, random usage of the abbreviation or full name, ongoing changes such as in DBpedia, and so forth. The purpose of ER is to determine whether two data records describe the same real-world entity.

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] P208[自动化与计算机技术—计算机科学与技术]