A collective entity linking algorithm with parallel computing on large-scale knowledge base

Author:

Xia Yingchun,Wang Xingyue,Gu Lichuan,Gao Qijuan,Jiao Jun,Wang Chao

Funder

National Natural Science Foundation of China

Anhui Foundation for Science and Technology Major Project

2016 Anhui Foundation for Natural Science Major Project

the Anhui Foundation for Science and Technology Major Project, China under Grant

the Hefei Major Research Project of Key Technology

Key Laboratory of Agricultural Electronic Commerce

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference30 articles.

1. Ji H, Grishman R (2011) Knowledge base population: successful approaches and challenges. ACL-HLT 18:518–519

2. Liu Q, Zhong Y, Li Y, Liu Y, Qin ZG (2016) Graph-based collective Chinese entity linking algorithm. J Comput Res Dev 53:270–283

3. Paulheim H (2017) Knowledge graph refinement: a survey of approaches and evaluation methods. Semant Web 8:489–508

4. Yan JH, Wang CY, Cheng WL, Gao M, Zhou AY (2016) A retrospective of knowledge graphs. Front Comput Sci 12:55–74

5. Burdick D, Kolaitis PG, Tan WC, Fagin R, Popa L (2016) A declarative framework for linking entities. ACM Trans Database Syst 41:17

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