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International Conference on Database Systems for Advanced Applications

DASFAA 2019: Database Systems for Advanced Applications pp 173–185Cite as

ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11448))

Abstract

With the rapid development of information technology, the problem of name ambiguity has become one of the main problems in the fields of information retrieval, data mining and scientific measurement, which inevitably affects the accuracy of information calculations, reduces the credibility of the literature retrieval system, and affect the quality of information. To deal with this, name disambiguation technology has been proposed, which maps virtual relational networks to real social networks. However, most existing related work did not consider the problem of name coreference and the inability to correctly match due to the different writing formats between two same strings. This paper mainly proposes an algorithm for Author Name Disambiguation based on Molecular Cross Clustering (ANDMC) considering name coreference. Meanwhile, we explored the string matching algorithm called Improved Levenshtein Distance (ILD), which solves the problem of matching between two same strings with different writing format. The experimental results show that our algorithm outperforms the baseline method. (F1-score 9.48% 21.45% higher than SC and HAC).

This work is supported by National Natural Science Foundation of China (NSFC) (61702049).

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Author information

Authors and Affiliations

  1. Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Posts and Telecommunications, No. 10, Xitucheng Road, Haidian District, Beijing, People’s Republic of China

    Siyang Zhang, Tao Huang & Fan Yang

  2. Beijing University of Technology, No. 100, Pingleyuan, Chaoyang District, Beijing, People’s Republic of China

    Xinhua E

  3. Peng Cheng Laboratory, No.2, Xingke first street, Nanshan District, Shenzhen, Guangdong, People’s Republic of China

    Siyang Zhang, Xinhua E & Fan Yang

Authors
  1. Siyang Zhang
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  2. Xinhua E
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  3. Tao Huang
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  4. Fan Yang
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Corresponding author

Correspondence to Siyang Zhang .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Guoliang Li

  2. Duke University, Durham, NC, USA

    Jun Yang

  3. University of Porto, Porto, Portugal

    Joao Gama

  4. Chiang Mai University, Chiang Mai, Thailand

    Juggapong Natwichai

  5. Beihang University, Beijing, China

    Yongxin Tong

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Zhang, S., E, X., Huang, T., Yang, F. (2019). ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering. In: Li, G., Yang, J., Gama, J., Natwichai, J., Tong, Y. (eds) Database Systems for Advanced Applications. DASFAA 2019. Lecture Notes in Computer Science(), vol 11448. Springer, Cham. https://doi.org/10.1007/978-3-030-18590-9_12

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  • DOI: https://doi.org/10.1007/978-3-030-18590-9_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-18589-3

  • Online ISBN: 978-3-030-18590-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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