A Graph-Based Author Name Disambiguation Method and Analysis via Information Theory
2020-04
发表期刊ENTROPY (IF:2.1[JCR-2023],2.2[5-Year])
EISSN1099-4300
卷号22期号:4
发表状态已发表
DOI10.3390/e22040416
摘要Name ambiguity, due to the fact that many people share an identical name, often deteriorates the performance of information integration, document retrieval and web search. In academic data analysis, author name ambiguity usually decreases the analysis performance. To solve this problem, an author name disambiguation task is designed to divide documents related to an author name reference into several parts and each part is associated with a real-life person. Existing methods usually use either attributes of documents or relationships between documents and co-authors. However, methods of feature extraction using attributes cause inflexibility of models while solutions based on relationship graph network ignore the information contained in the features. In this paper, we propose a novel name disambiguation model based on representation learning which incorporates attributes and relationships. Experiments on a public real dataset demonstrate the effectiveness of our model and experimental results demonstrate that our solution is superior to several state-of-the-art graph-based methods. We also increase the interpretability of our method through information theory and show that the analysis could be helpful for model selection and training progress.
关键词name disambiguation graph neural network clustering analysis mutual information
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收录类别SCI ; SCIE
语种英语
资助项目NSFC[61901267]
WOS研究方向Physics
WOS类目Physics, Multidisciplinary
WOS记录号WOS:000537222600002
出版者MDPI
原始文献类型Article
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/121632
专题信息科学与技术学院_硕士生
信息科学与技术学院_PI研究组_吴幼龙组
通讯作者Wu, Youlong
作者单位
1.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China
2.Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Shanghai 200050, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Univ Sci & Technol China, Hefei 230026, Peoples R China
第一作者单位信息科学与技术学院
通讯作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
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GB/T 7714
Ma, Yingying,Wu, Youlong,Lu, Chengqiang. A Graph-Based Author Name Disambiguation Method and Analysis via Information Theory[J]. ENTROPY,2020,22(4).
APA Ma, Yingying,Wu, Youlong,&Lu, Chengqiang.(2020).A Graph-Based Author Name Disambiguation Method and Analysis via Information Theory.ENTROPY,22(4).
MLA Ma, Yingying,et al."A Graph-Based Author Name Disambiguation Method and Analysis via Information Theory".ENTROPY 22.4(2020).
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