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Keyword Search over Federated RDF Systems

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Database Systems for Advanced Applications (DASFAA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12113))

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Abstract

In this paper, we study the problem of keyword search over federated RDF systems. We utilize the full-text search interfaces provided by SPARQL endpoints and the authoritative documents of URIs to map keywords to the classes, and generates SPARQL queries by exploring the schema graph. Then, we send the generated queries to the SPARQL endpoints and evaluate these queries. Experiments show that our approaches are effective and efficient.

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Notes

  1. 1.

    http://rdf4j.org/.

  2. 2.

    https://virtuoso.openlinksw.com/rdf-quad-store/.

  3. 3.

    https://github.com/LiDaKrA/FuhSen-reactive.

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Acknowledgement

The corresponding author is Peng Peng, and this work was supported by NSFC under grant 61702171 and 61772191, National Key R&D Projects (2018YFB0704000, 2017YFB0902904), Hunan Provincial Natural Science Foundation of China under grant 2018JJ3065, Science and Technology Key Projects of Hunan Province (2015TP1004, 2018TP1009, 2018TP2023, 2018TP3001), Transportation Science and Technology Project of Hunan Province (201819), Science and Technology ChangSha City (kq1804008) and the Fundamental Research Funds for the Central Universities.

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Authors and Affiliations

  1. Hunan University, Changsha, China

    Qing Wang, Peng Peng, Tianyao Tong, Zhen Tian & Zheng Qin

Authors
  1. Qing Wang
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  2. Peng Peng
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  3. Tianyao Tong
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  4. Zhen Tian
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  5. Zheng Qin
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Corresponding author

Correspondence to Peng Peng .

Editor information

Editors and Affiliations

  1. Dankook University, Yongin, Korea (Republic of)

    Yunmook Nah

  2. Peking University, Haidian, China

    Bin Cui

  3. Sungkyunkwan University, Suwon, Korea (Republic of)

    Sang-Won Lee

  4. Department of System Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, Hong Kong

    Jeffrey Xu Yu

  5. Kangwon National University, Chunchon, Korea (Republic of)

    Yang-Sae Moon

  6. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Steven Euijong Whang

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Wang, Q., Peng, P., Tong, T., Tian, Z., Qin, Z. (2020). Keyword Search over Federated RDF Systems. In: Nah, Y., Cui, B., Lee, SW., Yu, J.X., Moon, YS., Whang, S.E. (eds) Database Systems for Advanced Applications. DASFAA 2020. Lecture Notes in Computer Science(), vol 12113. Springer, Cham. https://doi.org/10.1007/978-3-030-59416-9_37

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  • DOI: https://doi.org/10.1007/978-3-030-59416-9_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59415-2

  • Online ISBN: 978-3-030-59416-9

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