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CrowdSR: A Crowd Enabled System for Semantic Recovering of Web Tables

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Web-Age Information Management (WAIM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9098))

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Abstract

Without knowing any semantic of tables on web, it’s very difficult for web search to take advantage of those high quality sources of relational information.We present CrowdSR, a system that enables semantic recovering of web tables by crowdsourcing. To minimize the number of tuples posed to the crowd, CrowdSR selects a small number of representative tuples by clustering based on novel integrative distance. An evaluation mechanism is also implemented on Answer Credibility in order to recommend related tasks for workers and decide the final answers for each task more accurately.

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References

  1. Limaye, G., Sarawagi, S., Chakrabarti, S.: Annotating and searching web tables using entities, types and relationships. In: VLDB (2010)

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Author information

Authors and Affiliations

  1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

    Huaxi Liu, Ning Wang & Xiangran Ren

Authors
  1. Huaxi Liu
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  2. Ning Wang
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  3. Xiangran Ren
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Corresponding author

Correspondence to Ning Wang .

Editor information

Editors and Affiliations

  1. Google, CA, USA

    Xin Luna Dong

  2. Postdoc Apartments (Hong Lou) 4-1-4, Shandong University, Li Cheng, Jinan, China

    Xiaohui Yu

  3. Tsinghua University, Beijing, China

    Jian Li

  4. Northeastern University, BOSTON, USA

    Yizhou Sun

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Liu, H., Wang, N., Ren, X. (2015). CrowdSR: A Crowd Enabled System for Semantic Recovering of Web Tables. In: Dong, X., Yu, X., Li, J., Sun, Y. (eds) Web-Age Information Management. WAIM 2015. Lecture Notes in Computer Science(), vol 9098. Springer, Cham. https://doi.org/10.1007/978-3-319-21042-1_67

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  • DOI: https://doi.org/10.1007/978-3-319-21042-1_67

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21041-4

  • Online ISBN: 978-3-319-21042-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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