Evaluating Conjunctive Triple Pattern Queries over Large Structured Overlay Networks

  • Erietta Liarou
  • Stratos Idreos
  • Manolis Koubarakis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4273)


We study the problem of evaluating conjunctive queries composed of triple patterns over RDF data stored in distributed hash tables. Our goal is to develop algorithms that scale to large amounts of RDF data, distribute the query processing load evenly and incur little network traffic. We present and evaluate two novel query processing algorithms with these possibly conflicting goals in mind. We discuss the various tradeoffs that occur in our setting through a detailed experimental evaluation of the proposed algorithms.


Query Processing Overlay Network Distribute Hash Table Query Evaluation Conjunctive Query 
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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Erietta Liarou
    • 1
  • Stratos Idreos
    • 2
  • Manolis Koubarakis
    • 3
  1. 1.Technical University of CreteChaniaGreece
  2. 2.CWIAmsterdamThe Netherlands
  3. 3.National and Kapodistrian University of AthensAthensGreece

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