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Evaluating and Comparing Web-Scale Extracted Knowledge Bases in Chinese and English

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Semantic Technology (JIST 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9544))

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Abstract

DBpedia and YAGO are the two main data sources serving as the hub of Linking Open Data (LOD), and they both contain Chinese data. Zhishi.me and SSCO extract Chinese knowledge from Wikipedia and other Chinese Encyclopedic Web sites like Baidu-Baike and Hudong-Baike. The quality of these Knowledge Bases (KBs) are not well investigated while their qualities are key to smart applications. In this paper, we evaluate three large Chinese KBs including DBpedia Chinese, zhishi.me and SSCO, and further compare them with English KBs. Since traditional methods on evaluating Web ontology can not be easily adapted to web-scale extracted KBs, we design two metric sets considering Richness and Correctness based on a quasi-formal conceptual representation to measure and compare these KBs. We also design a novel metric set on overlapped instances of different KBs to make the metric results comparable. Finally, we employ random sampling to reduce human efforts for assessing the correctness. The findings in these KBs give a detailed status report of the current situation of extracted KBs in both Chinese and English.

This work was partially supported by the National Science Foundation of China (project No: 61402173), and Software and Integrated Circuit Industry Development Special Funds of Shanghai Economic and Information Commission (project No: 140304).

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Notes

  1. 1.

    http://wiki.dbpedia.org/.

  2. 2.

    http://www.mpi-inf.mpg.de/yago/.

  3. 3.

    http://zhishi.me/.

  4. 4.

    http://ssco.zhishimofang.com.

  5. 5.

    http://lists.w3.org/Archives/Public/public-lod/2011Apr/0145.html/.

  6. 6.

    http://kbeval.nlp-bigdatalab.com/results201505.rar.

  7. 7.

    http://linkeddata.informatik.hu-berlin.de/LDSrcAss/datenquelle.php.

  8. 8.

    http://stattrek.com/sample-size/simple-random-sample.aspx.

  9. 9.

    http://stattrek.com/hypothesis-test/difference-in-proportions.aspx.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China

    Tong Ruan, Xu Dong, Haofen Wang & Yang Li

Authors
  1. Tong Ruan
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  2. Xu Dong
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  3. Haofen Wang
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  4. Yang Li
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Correspondence to Tong Ruan .

Editor information

Editors and Affiliations

  1. Southeast University, Nanjing, China

    Guilin Qi

  2. Osaka University, Ibaraki, Japan

    Kouji Kozaki

  3. The University of Aberdeen, Aberdeen, United Kingdom

    Jeff Z. Pan

  4. Zhongnan Hospital of Wuhan University, Wuhan, China

    Siwei Yu

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Ruan, T., Dong, X., Wang, H., Li, Y. (2016). Evaluating and Comparing Web-Scale Extracted Knowledge Bases in Chinese and English. In: Qi, G., Kozaki, K., Pan, J., Yu, S. (eds) Semantic Technology. JIST 2015. Lecture Notes in Computer Science(), vol 9544. Springer, Cham. https://doi.org/10.1007/978-3-319-31676-5_12

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  • DOI: https://doi.org/10.1007/978-3-319-31676-5_12

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