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Validating Data from Semantic Web Providers

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SOFSEM 2018: Theory and Practice of Computer Science (SOFSEM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10706))

Abstract

As the Linked Open Data and the number of semantic web data providers hugely increase, so does the critical importance of the following question: how to get usable results, in particular for data mining and data analysis tasks? We propose a query framework equiped with integrity constraints that the user wants to be verified on the results coming from semantic web data providers. We precise the syntax and semantics of those user quality constraints. We give algorithms for their dynamic verification during the query computation, we evaluate their performance with experimental results, and discuss related works.

This work is supported by Girafon Project, funded by Region Centre Val de Loire.

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Notes

  1. 1.

    https://graphik-team.github.io/graal/.

  2. 2.

    Lehigh University: http://swat.cse.lehigh.edu/projects/lubm/.

  3. 3.

    Details in the technical report: http://www.univ-orleans.fr/lifo/rapports.php?annee=2017.

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Correspondence to Thanh Binh Nguyen .

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Chabin, J., Halfeld-Ferrari, M., Markhoff, B., Nguyen, T.B. (2018). Validating Data from Semantic Web Providers. In: Tjoa, A., Bellatreche, L., Biffl, S., van Leeuwen, J., Wiedermann, J. (eds) SOFSEM 2018: Theory and Practice of Computer Science. SOFSEM 2018. Lecture Notes in Computer Science(), vol 10706. Edizioni della Normale, Cham. https://doi.org/10.1007/978-3-319-73117-9_48

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  • DOI: https://doi.org/10.1007/978-3-319-73117-9_48

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