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Ruben Verborgh

OSTRICH: Versioned Random-Access Triple Store

Ruben Taelman, Miel Vander Sande, and Ruben Verborgh

The collection of Linked Data is evergrowing and many datasets are frequently being updated. In order to fully exploit the potential of the information that is available in and over historical dataset versions, we need to be able to store and query Linked Datasets efficiently. In this demonstration, we introduce OSTRICH, which is an efficient multi-version triple store with versioned querying support. We demonstrate the capabilities of OSTRICH using a Web-based graphical user interface in which a store can be opened or created. Using this interface, the user is able to querying in, between and over different versions, ingest new versions, and retrieve summarizing statistics.

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Published in 2018 in Companion Proceedings of The Web Conference.

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Cite this article easily using its BibTeX entry:

@inproceedings{taelman_www_demo_2018,
  author = {Taelman, Ruben and Vander Sande, Miel and Verborgh, Ruben},
  title = {{OSTRICH:} Versioned Random-Access Triple Store},
  booktitle = {Companion Proceedings of The Web Conference},
  pages = {127--130},
  year = 2018,
  month = apr,
  url = {https://rdfostrich.github.io/article-demo/},
  doi = {10.1145/3184558.3186960},
  isbn = {978-1-4503-5640-4},
}

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ACM
Ruben Taelman, Miel Vander Sande, and Ruben Verborgh. 2018. OSTRICH: Versioned Random-Access Triple Store. In Companion Proceedings of The Web Conference, 127–130.
APA
Taelman, R., Vander Sande, M., & Verborgh, R. (2018). OSTRICH: Versioned Random-Access Triple Store. Companion Proceedings of The Web Conference, 127–130.
IEEE
R. Taelman, M. Vander Sande, and R. Verborgh, “OSTRICH: Versioned Random-Access Triple Store,” in Companion Proceedings of The Web Conference, 2018, pp. 127–130.
LNCS
Taelman, R., Vander Sande, M., Verborgh, R.: OSTRICH: Versioned Random-Access Triple Store. In: Companion Proceedings of The Web Conference. pp. 127–130 (2018).
MLA
Taelman, Ruben, et al. “OSTRICH: Versioned Random-Access Triple Store.” Companion Proceedings of The Web Conference, 2018, pp. 127–30.

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