MARVIN: A platform for large-scale analysis of Semantic Web data

Eyal Oren
Spyros Kotoulas
George Anadiotis
Ronny Siebes
Annette ten Teije
and Frank van Harmelen

Web Science requires efficient techniques for analysing large datasets. Many Semantic Web problems are difficult to solve through common divide-and-conquer strategies, since they are hard to partition. We present MARVIN, a parallel and distributed platform for processing large amounts of RDF data, on a network of loosely-coupled peers. We present our divide-conquer-swap strategy and show that this model converges towards completeness. We evaluate performance, load balancing and efficiency of our system.

(PDF paper)

@inproceedings{WebScience09,
  author = {Eyal Oren and Spyros Kotoulas and George Anadiotis and Ronny Siebes and
            Annette ten Teije and and Frank van Harmelen},
  title = {MARVIN: A platform for large-scale analysis of Semantic Web data},
  booktitle = {Proceedings of the WebScience '09},
  year = {2009},
  publisher =	 {Society On-Line},
  keywords = {Semantic Web},
  urlPaper = "http://www.cs.vu.nl/~frankh/postscript/WebScience09.pdf"
}

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