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SPARQL Query Recommendation for Exploring RDF Repositories

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The Semantic Web and Web Science (CSWS 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 480))

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Abstract

With the rapid development of Semantic Web, more and more RDF repositories, such as Linking Open Data (LOD), are available on the web. Generally, there are two services provided for exploring those RDF repositories, one is the keyword lookup, and the other is the SPARQL endpoint. Most users choose the lookup service, and millions of web logs have been recorded. Although, users expect to submit more expressive queries than keyword lookup, the complexity of SPARQL undoubtedly scared users away. This paper proposes a method of SPARQL query recommendation for exploring RDF repositories. By analyzing web logs of the lookup service, our method extracts the user access patterns, which will be used to recommend SPARQL queries. We implement our method based on Zhishi.me, a Chinese RDF repository with about 150 million triples as well as over one-year web logs. We believe the proposed method will further facilitate the SPARQL query research.

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Notes

  1. 1.

    http://baike.baidu.com/

  2. 2.

    http://www.baike.com/

  3. 3.

    http://zh.wikipedia.org/

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Author information

Authors and Affiliations

  1. Shanghai Jiao Tong University, Shanghai, China

    Boliang Chen, Ruilong Su & Yong Yu

  2. IBM China Research Lab, Beijing, China

    Jing Mei, Wen Sun, Gang Hu & Guotong Xie

  3. East China University of Science and Technology, Shanghai, China

    Haofen Wang

Authors
  1. Boliang Chen
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  2. Jing Mei
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  3. Wen Sun
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  4. Ruilong Su
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  5. Haofen Wang
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  6. Gang Hu
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  7. Guotong Xie
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  8. Yong Yu
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Corresponding author

Correspondence to Boliang Chen .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Dongyan Zhao

  2. Guangdong University of Foreign Studies, Guangzhou, China

    Jianfeng Du

  3. East China University, Shanghai, China

    Haofen Wang

  4. Southeast University, Nanjing, China

    Peng Wang

  5. Wuhan University, Wuhan, China

    Donghong Ji

  6. The University of Aberdeen, Aberdeen, United Kingdom

    Jeff Z. Pan

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Chen, B. et al. (2014). SPARQL Query Recommendation for Exploring RDF Repositories. In: Zhao, D., Du, J., Wang, H., Wang, P., Ji, D., Pan, J. (eds) The Semantic Web and Web Science. CSWS 2014. Communications in Computer and Information Science, vol 480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45495-4_1

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  • DOI: https://doi.org/10.1007/978-3-662-45495-4_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45494-7

  • Online ISBN: 978-3-662-45495-4

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