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MOCHA 2017 as a Challenge for Virtuoso

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Semantic Web Challenges (SemWebEval 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 769))

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Abstract

The Mighty Storage Challenge (MOCHA) aims to test the performance of solutions for SPARQL processing, in several aspects relevant for modern Linked Data applications. Virtuoso, by OpenLink Software, is a modern enterprise-grade solution for data access, integration, and relational database management, which provides a scalable RDF Quad Store. In this paper, we present a short overview of Virtuoso with a focus on RDF triple storage and SPARQL query execution. Furthermore, we showcase the final results of the MOCHA 2017 challenge and its tasks, along with a comparison between the performance of our system and the other participating systems.

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Notes

  1. 1.

    https://project-hobbit.eu/.

  2. 2.

    https://project-hobbit.eu/challenges/mighty-storage-challenge/.

  3. 3.

    https://2017.eswc-conferences.org/.

  4. 4.

    https://www.openlinksw.com/.

  5. 5.

    https://virtuoso.openlinksw.com/.

  6. 6.

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

  7. 7.

    http://master.project-hobbit.eu/.

  8. 8.

    https://github.com/hobbit-project/DataStorageBenchmark.

References

  1. Morsey, M., Lehmann, J., Auer, S., Ngonga Ngomo, A.-C.: DBpedia SPARQL benchmark – performance assessment with real queries on real data. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011. LNCS, vol. 7031, pp. 454–469. Springer, Heidelberg (2011). doi:10.1007/978-3-642-25073-6_29

    Chapter  Google Scholar 

  2. Ngonga Ngomo, A.C., Röder, M.: HOBBIT: holistic benchmarking for big linked data. In: ERCIM News 2016 -105 (2016)

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  3. Erling, O., Mikhailov, I.: RDF support in the virtuoso DBMS. In: Pellegrini, T., et al. (eds.) Networked Knowledge - Networked Media: Integrating Knowledge Management, New Media Technologies and Semantic Systems 2009. SCI, vol. 221, pp. 7–24. Springer, Heidelberg (2009)

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  4. Erling, O., Mikhailov, I.: Virtuoso: RDF support in a native RDBMS. In: de Virgilio, R., et al. (eds.) Semantic Web Information Management: A Model-Based Perspective 2010, pp. 501–519. Springer, Heidelberg (2010)

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  5. Erling, O.: Virtuoso, a Hybrid RDBMS/Graph Column Store. https://virtuoso.openlinksw.com/dataspace/doc/dav/wiki/Main/VOSArticleVirtuosoAHybridRDBMSGraphColumnStore

  6. Georgala, K.: Data Extraction Benchmark for Sensor Data. https://project-hobbit.eu/wp-content/uploads/2017/06/D3.1.1_First_Version_of_the_Data_Extraction_Benchmark_for_Sensor_Data.pdf

  7. Jovanovik, M., Spasić, M.: First Version of the Data Storage Benchmark. https://project-hobbit.eu/wp-content/uploads/2017/06/D5.1.1_First_version_of_the_Data_Storage_Benchmark.pdf

  8. Petzka, H.: First Version of the Faceted Browsing Benchmark. https://project-hobbit.eu/wp-content/uploads/2017/06/D6.2.1_First_Version_FacetedBrowsing.pdf

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Acknowledgments

This work has been supported by the H2020 project HOBBIT (GA no. 688227).

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Correspondence to Mirko Spasić .

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Spasić, M., Jovanovik, M. (2017). MOCHA 2017 as a Challenge for Virtuoso. In: Dragoni, M., Solanki, M., Blomqvist, E. (eds) Semantic Web Challenges. SemWebEval 2017. Communications in Computer and Information Science, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-69146-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-69146-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69145-9

  • Online ISBN: 978-3-319-69146-6

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