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Optimized Processing of Subscriptions to DBpedia Live

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Business Information Systems Workshops (BIS 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 228))

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Abstract

DBpedia Live enables access to structured data extracted from Wikipedia in real-time. A data stream that is generated from Wikipedia changes is instantly loaded in the DBpedia RDF store. Applications can benefit by subscribing to the RDF update stream and receive continuous results from DBpedia. Providing a continuous update stream of changes to subscribed DBpedia queries is a challenging task due to the load it places on the RDF store.

In this paper, we propose an optimization approach for processing subscriptions to DBpedia Live. By monitoring the change data stream, query processing can be optimized to avoid unnecessary processing load by continuous database polling. Queries are only re-processed when the system can detect a relation between incoming changes and queries so that it can trigger the processing of the specific query. We evaluated our approach by using a recorded history of the DBpedia change stream and as queries we used the most frequent DBpedia SPARQL queries obtained from the logs. A comparison of our approach to the interval-based database polling approach shows a significant optimization of processing costs.

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Notes

  1. 1.

    http://dbpedia.org.

  2. 2.

    Linked Open Data http://linkeddata.org/.

  3. 3.

    http://live.dbpedia.org/.

  4. 4.

    A triple store is a special kind of database system for storage of RDF triple data.

  5. 5.

    http://data.semanticweb.org.

  6. 6.

    RDF Stream Processing Community Group http://www.w3.org/community/rsp/.

  7. 7.

    Linked Open Data http://linkeddata.org/.

  8. 8.

    https://code.google.com/p/cqels/wiki/CQELS_language retrieved April, 2014.

  9. 9.

    DBpedia Live Website http://live.dbpedia.org/changesets/.

  10. 10.

    Some special characters were included before “http://” of RDF resources that we had to remove.

  11. 11.

    DBpedia query logs downloaded from ftp://download.openlinksw.com/support/dbpedia/.

  12. 12.

    http://www.csw.inf.fu-berlin.de/DBpediaLiveExperiments/.

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Acknowledgements

This work has been partially supported by the “InnoProfile-Transfer Corporate Smart Content” project funded by the German Federal Ministry of Education and Research (BMBF) and the BMBF Innovation Initiative for the New German Länder-Entrepreneurial Regions.

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Authors and Affiliations

  1. Institute for Computer Science, AG Corporate Semantic Web, Freie Universität Berlin, Berlin, Germany

    Kia Teymourian, Alexandru Todor, Wojciech Łukasiewicz & Adrian Paschke

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  1. Kia Teymourian
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  2. Alexandru Todor
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  3. Wojciech Łukasiewicz
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  4. Adrian Paschke
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Correspondence to Alexandru Todor .

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  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

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Teymourian, K., Todor, A., Łukasiewicz, W., Paschke, A. (2015). Optimized Processing of Subscriptions to DBpedia Live. In: Abramowicz, W. (eds) Business Information Systems Workshops. BIS 2015. Lecture Notes in Business Information Processing, vol 228. Springer, Cham. https://doi.org/10.1007/978-3-319-26762-3_26

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  • DOI: https://doi.org/10.1007/978-3-319-26762-3_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26761-6

  • Online ISBN: 978-3-319-26762-3

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