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Context-Aware Entity Summarization

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Web-Age Information Management (WAIM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9658))

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Abstract

Entity summarization aims at selecting a small subset of attribute-value pairs of an entity from a knowledge graph, which provides users with concrete information given an entity-related query. However, previous approaches focus on the “goodness” of the attribute-value pairs, paying little attention to user preference towards them.

In this paper, we formalize the task of context-aware entity summarization, and propose an algorithm to solve this problem. We model user interest by mining the latent topics in a query log dataset. A modified Personalized PageRank algorithm is utilized to rank attribute-value pairs by leveraging three elements: relevance, informativeness and topic coherence. We evaluate our approach on real-world datasets and show that it outperforms the state-of-the-art approaches.

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Notes

  1. 1.

    http://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/yago/.

  2. 2.

    http://stanfordnlp.github.io/CoreNLP/.

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Acknowledgements

This work is supported by the National Basic Research Program (973) of China (No. 2012CB316203) and NSFC under Grant Nos. U1401256, 61402177, 61402180 and 61232002. This work is also supported by CCF-Tecent Research Program of China (No. AGR20150114) and NSF of Shanghai (No. 14ZR1412600).

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Authors and Affiliations

  1. Institute for Data Science and Engineering, East China Normal University, Shanghai, 200062, China

    Jihong Yan, Yanhua Wang & Ming Gao

  2. Economic Management Institute, Shanghai Second Polytechnic University, Shanghai, 201209, China

    Jihong Yan

  3. Shanghai Key Lab for Trustworthy Computing, East China Normal University, Shanghai, 200062, China

    Aoying Zhou

Authors
  1. Jihong Yan
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  2. Yanhua Wang
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  3. Ming Gao
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  4. Aoying Zhou
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Corresponding author

Correspondence to Ming Gao .

Editor information

Editors and Affiliations

  1. Peking University , Beijing, China

    Bin Cui

  2. The George Washington University, Washington, D.C., USA

    Nan Zhang

  3. Hong Kong Baptist University, Kowloon Tong, Hong Kong, China

    Jianliang Xu

  4. University of Texas Rio Grande Valley, Edinburg, Texas, USA

    Xiang Lian

  5. Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China

    Dexi Liu

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Yan, J., Wang, Y., Gao, M., Zhou, A. (2016). Context-Aware Entity Summarization. In: Cui, B., Zhang, N., Xu, J., Lian, X., Liu, D. (eds) Web-Age Information Management. WAIM 2016. Lecture Notes in Computer Science(), vol 9658. Springer, Cham. https://doi.org/10.1007/978-3-319-39937-9_40

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  • DOI: https://doi.org/10.1007/978-3-319-39937-9_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39936-2

  • Online ISBN: 978-3-319-39937-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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