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Hierarchical Conceptual Labeling

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Database Systems for Advanced Applications (DASFAA 2019)

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

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Abstract

The bag-of-words model is widely used in many AI applications. In this paper, we propose the task of hierarchical conceptual labeling (HCL), which aims to generate a set of conceptual labels with a hierarchy to represent the semantics of a bag of words. To achieve it, we first propose a denoising algorithm to filter out the noise in a bag of words in advance. Then the hierarchical conceptual labels are generated for a clean word bag based on the clustering algorithm of Bayesian rose tree. The experiments demonstrate the high performance of our proposed framework.

This paper was supported by National Natural Science Foundation of China under No. 61732004.

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Notes

  1. 1.

    In this paper, the words in BoWs are also called instances.

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Author information

Authors and Affiliations

  1. School of Computer Science, Fudan University, Shanghai, China

    Haiyun Jiang, Cengguang Zhang, Deqing Yang, Yanghua Xiao, Jingping Liu, Jindong Chen, Chao Wang, Chenguang Li, Jiaqing Liang, Bin Liang & Wei Wang

  2. Shanghai Institute of Intelligent Electronics and Systems, Shanghai, China

    Yanghua Xiao

Authors
  1. Haiyun Jiang
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  2. Cengguang Zhang
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  3. Deqing Yang
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  4. Yanghua Xiao
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  5. Jingping Liu
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  6. Jindong Chen
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  7. Chao Wang
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  8. Chenguang Li
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  9. Jiaqing Liang
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  10. Bin Liang
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  11. Wei Wang
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Corresponding author

Correspondence to Yanghua Xiao .

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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Jiang, H. et al. (2019). Hierarchical Conceptual Labeling. 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_18

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  • DOI: https://doi.org/10.1007/978-3-030-18590-9_18

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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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