Optimized Processing of Subscriptions to DBpedia Live

  • Kia Teymourian
  • Alexandru TodorEmail author
  • Wojciech Łukasiewicz
  • Adrian Paschke
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 228)


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.


Query Processing User Query SPARQL Query Triple Pattern Link Open Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



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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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Kia Teymourian
    • 1
  • Alexandru Todor
    • 1
    Email author
  • Wojciech Łukasiewicz
    • 1
  • Adrian Paschke
    • 1
  1. 1.Institute for Computer Science, AG Corporate Semantic WebFreie Universität BerlinBerlinGermany

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