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Chinese National Conference on Social Media Processing

SMP 2016: Social Media Processing pp 274–286Cite as

Knowledge Fragment Enrichment Using Domain Knowledge Base

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 669))

Abstract

Knowledge fragment enrichment aims to complete user input concept fragment by augmenting each concept with rich domain information. This is a widely studied problem in cognitive science, but has not been intensively investigated in computer science. In this paper, we formally define the problem of knowledge fragment enrichment in domain knowledge base and develop a probabilistic graphical model to tackle the problem. The proposed model is able to model the dependencies among concepts in the input knowledge fragment and also capture the probabilistic relationship between concepts and domain entities. We empirically evaluate the proposed model on two different genres of datasets: PubMed and NSFC. On both datasets, the proposed model significantly improves the accuracy of label prediction task by up to 3–9 % (in terms of MAP) compared with several alternative enrichment methods.

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Notes

  1. 1.

    http://en.wikipedia.org/wiki/Jeopardy!.

  2. 2.

    http://www.nlm.nih.gov/bsd/disted/meshtutorial/.

  3. 3.

    https://www.acm.org/about/class.

  4. 4.

    http://www.nsfc.gov.cn/nsfc/cen/daima/.

  5. 5.

    http://www.nsfc.gov.cn/nsfc/cen/daima/.

  6. 6.

    http://www.ncbi.nlm.nih.gov/pubmed.

  7. 7.

    http://www.nlm.nih.gov/mesh/trees.html.

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Author information

Authors and Affiliations

  1. Renmin University of China, Beijing, China

    Jing Zhang

  2. University of Illinois at Urbana-Champaign, Champaign, USA

    Honglei Zhuang, Yanglei Song & Jiawei Han

  3. Tsinghua University, Beijing, China

    Jing Zhang, Yutao Zhang, Jie Tang & Juanzi Li

Authors
  1. Jing Zhang
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  2. Honglei Zhuang
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  3. Yanglei Song
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  4. Jiawei Han
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  5. Yutao Zhang
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  6. Jie Tang
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  7. Juanzi Li
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Corresponding author

Correspondence to Jing Zhang .

Editor information

Editors and Affiliations

  1. Beijing Language and Culture University, Beijing, China

    Yuming Li

  2. Jiangxi Normal University, Nanchang, China

    Guoxiong Xiang

  3. Dalian University of Technology, Dalian, China

    Hongfei Lin

  4. Jiangxi Normal University, Nanchang, China

    Mingwen Wang

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© 2016 Springer Nature Singapore Pte Ltd.

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Zhang, J. et al. (2016). Knowledge Fragment Enrichment Using Domain Knowledge Base. In: Li, Y., Xiang, G., Lin, H., Wang, M. (eds) Social Media Processing. SMP 2016. Communications in Computer and Information Science, vol 669. Springer, Singapore. https://doi.org/10.1007/978-981-10-2993-6_24

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  • DOI: https://doi.org/10.1007/978-981-10-2993-6_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2992-9

  • Online ISBN: 978-981-10-2993-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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