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Accessing Information About Linked Data Vocabularies with vocab.cc

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Semantic Web and Web Science

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Abstract

Linked Data vocabulary designers and application developers need means to easily identify relevant vocabularies, to allow them to reuse existing vocabularies and to develop applications making use of Linked Data. We describe a system that provides information about the popularity of classes and properties based on the Billion Triple Challenge data set. The information about classes and properties can be accessed via a web portal or via Linked API resources. We describe both the data analysis process and the architecture of the web portal.

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Notes

  1. 1.

    http://www.w3.org/DesignIssues/LinkedData.html.

  2. 2.

    http://vocab.cc/.

  3. 3.

    http://code.google.com/p/vocab/.

  4. 4.

    http://stats.lod2.eu/.

  5. 5.

    http://schemacache.com/.

  6. 6.

    http://labs.mondeca.com/dataset/lov/index.html.

  7. 7.

    http://km.aifb.kit.edu/projects/btc-2011/.

  8. 8.

    http://sw.deri.org/2008/07/n-quads/.

  9. 9.

    http://hadoop.apache.org/.

  10. 10.

    https://opencirrus.org/.

  11. 11.

    http://prefix.cc/.

  12. 12.

    http://planet-data.eu/.

References

  1. Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. Int. J. Semantic Web Inf. Syst. 5(3), 122 (2009)

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Acknowledgements

The research leading to this paper was partially supported by the Network of Excellence PlanetData,Footnote 12 funded by the European Community’s Seventh Framework Programme FP7/2007-2013 under contract 257641.

Author information

Authors and Affiliations

  1. Institute AIFB, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    Steffen Stadtmüller & Andreas Harth

  2. Jožef Stefan Institute, Ljubljana, Slovenia

    Marko Grobelnik

Authors
  1. Steffen Stadtmüller
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  2. Andreas Harth
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  3. Marko Grobelnik
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Corresponding author

Correspondence to Steffen Stadtmüller .

Editor information

Editors and Affiliations

  1. , Dept. of Computer Science and Technology, Tsinghua University, Room 10-206, East main building, Beijing, 100084, China, People's Republic

    Juanzi Li

  2. , School of Comp. Sci. & Eng., Southeast University, Dongda Road 2, Nanjing, 211189, Jiangsu, China, People's Republic

    Guilin Qi

  3. Peking University, Inst. of Computer Science & Tech., North Zhongguancun Street 128, Beijing, 100871, China, People's Republic

    Dongyan Zhao

  4. L3S Research Center, Leibniz University Hannover, Appelstr. 4, Hannover, 30167, Germany

    Wolfgang Nejdl

  5. Tsinghua Campus H202B, Shenzhen City, 518055, China, People's Republic

    Hai-Tao Zheng

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Stadtmüller, S., Harth, A., Grobelnik, M. (2013). Accessing Information About Linked Data Vocabularies with vocab.cc. In: Li, J., Qi, G., Zhao, D., Nejdl, W., Zheng, HT. (eds) Semantic Web and Web Science. Springer Proceedings in Complexity. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6880-6_34

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  • DOI: https://doi.org/10.1007/978-1-4614-6880-6_34

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6879-0

  • Online ISBN: 978-1-4614-6880-6

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