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Entity Linking in Web Tables with Multiple Linked Knowledge Bases

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Semantic Technology (JIST 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10055))

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Abstract

The World-Wide Web contains a large scale of valuable relational data, which are embedded in HTML tables (i.e. Web tables). To extract machine-readable knowledge from Web tables, some work tries to annotate the contents of Web tables as RDF triples. One critical step of the annotation is entity linking (EL), which aims to map the string mentions in table cells to their referent entities in a knowledge base (KB). In this paper, we present a new approach for EL in Web tables. Different from previous work, the proposed approach replaces a single KB with multiple linked KBs as the sources of entities to improve the quality of EL. In our approach, we first apply a general graph-based algorithm to EL in Web tables with each single KB. Then, we leverage the existing and newly learned “sameAs” relations between the entities from different KBs to help improve the results of EL in the first step. We conduct experiments on the sampled Web tables with Zhishi.me, which consists of three linked encyclopedic KBs. The experimental results show that our approach outperforms the state-of-the-art table’s EL methods in different evaluation metrics.

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Notes

  1. 1.

    https://zh.wikipedia.org.

  2. 2.

    http://baike.baidu.com.

  3. 3.

    http://www.baike.com.

  4. 4.

    https://en.wikipedia.org/wiki/Mean_reciprocal_rank.

  5. 5.

    https://en.wikipedia.org/wiki/Edit_distance.

  6. 6.

    https://en.wikipedia.org/wiki/Jaccard_index.

  7. 7.

    http://linkeddata.org/.

  8. 8.

    https://github.com/jxls080511/MK-EL.

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Acknowledgements

This work is supported in part by the National Natural Science Foundation of China (NSFC) under Grant No. 61272378, the 863 Program under Grant No. 2015AA015406 and the Research Innovation Program for College Graduates of Jiangsu Province under Grant No. KYLX16_0295.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Southeast University, Nanjing, China

    Tianxing Wu, Shengjia Yan, Zhixin Piao, Liang Xu, Ruiming Wang & Guilin Qi

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  1. Tianxing Wu
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  2. Shengjia Yan
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  3. Zhixin Piao
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  4. Liang Xu
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  5. Ruiming Wang
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  6. Guilin Qi
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Corresponding author

Correspondence to Tianxing Wu .

Editor information

Editors and Affiliations

  1. Information Technology, Monash University, Melbourne, Victoria, Australia

    Yuan-Fang Li

  2. Computer Science and Technology, Nanjing University, Nanjing, China

    Wei Hu

  3. Computer Science, National University of Singapore, Singapore, Singapore

    Jin Song Dong

  4. University of Huddersfield, Huddersfield, United Kingdom

    Grigoris Antoniou

  5. Information and Communication Technology, Griffith University, Brisbane, Queensland, Australia

    Zhe Wang

  6. ISTD, Singapore University of Technology and Design, Singapore, Singapore

    Jun Sun

  7. Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Yang Liu

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Wu, T., Yan, S., Piao, Z., Xu, L., Wang, R., Qi, G. (2016). Entity Linking in Web Tables with Multiple Linked Knowledge Bases. In: Li, YF., et al. Semantic Technology. JIST 2016. Lecture Notes in Computer Science(), vol 10055. Springer, Cham. https://doi.org/10.1007/978-3-319-50112-3_18

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  • DOI: https://doi.org/10.1007/978-3-319-50112-3_18

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