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DREAM in Action: A Distributed and Adaptive RDF System on the Cloud

Published: 11 April 2016 Publication History

Abstract

RDF and SPARQL query language are gaining wide popularity and acceptance. This demonstration paper presents DREAM, a hybrid RDF system, which combines the advantages and averts the disadvantages of the centralized and distributed RDF schemes. In particular, DREAM avoids partitioning RDF datasets and reversely partitions SPARQL queries. By not partitioning datasets, DREAM offers a general paradigm for different types of pattern matching queries and entirely precludes intermediate data shuffling (only auxiliary data are shuffled). By partitioning only queries, DREAM suggests an adaptive scheme, which runs queries on different numbers of machines depending on their complexities. DREAM achieves these goals and significantly outperforms related systems via employing a novel graph-based, rule-oriented query planner and a new cost model. This paper proposes demonstrating DREAM live over the cloud using a friendly graphical user interface (GUI). The GUI allows participants to execute and visualize pre-defined and user-defined (which can be written by participants on-the-fly) SPARQL queries over various real-world and synthetic RDF datasets. Furthermore, participants can empirically compare and contrast DREAM against three state-of-the-art RDF systems.

References

[1]
Dream project - distributed rdf query engine. http://www.qatar.cmu.edu/~mhhammou/DREAM/index.html.
[2]
D. J. Abadi, A. Marcus, S. R. Madden, and K. Hollenbach. Scalable semantic web data management using vertical partitioning. In VLDB, 2007.
[3]
R. Angles and C. Gutierrez. Querying rdf data from a graph database perspective. In The Semantic Web: Research and Applications. 2005.
[4]
M. Atre, J. Srinivasan, and J. A. Hendler. Bitmat: A main-memory bit matrix of rdf triples for conjunctive triple pattern queries. In ISWC (Posters & Demos), 2008.
[5]
V. Bonstrom, A. Hinze, and H. Schweppe. Storing rdf as a graph. In First Latin American of Web Congress, 2003.
[6]
M. A. Bornea, J. Dolby, A. Kementsietsidis, K. Srinivas, P. Dantressangle, O. Udrea, and B. Bhattacharjee. Building an efficient rdf store over a relational database. In SIGMOD, 2013.
[7]
M. Hammoud, D. A. Rabbou, R. Nouri, S. Beheshti, and S. Sakr. DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication. PVLDB, 8(6), 2015.
[8]
J. Hayes and C. Gutierrez. Bipartite graphs as intermediate model for rdf. In ISWC. 2004.
[9]
J. Hoffart, F. M. Suchanek, K. Berberich, E. Lewis-Kelham, G. De~Melo, and G. Weikum. Yago2: exploring and querying world knowledge in time, space, context, and many languages. In WWW, 2011.
[10]
http://swat.cse.lehigh.edu/projects/lubm/. The LUBM Benchmark.
[11]
J. Huang, D. J. Abadi, and K. Ren. Scalable sparql querying of large rdf graphs. PVLDB, 4(11), 2011.
[12]
T. Neumann and G. Weikum. The rdf-3x engine for scalable management of rdf data. The VLDB Journal, 19(1), 2010.
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N. Papailiou, D. Tsoumakos, I. Konstantinou, P. Karras, and N. Koziris. H\(_\mbox2\)RDF
[14]
: an efficient data management system for big RDF graphs. In SIGMOD, 2014.
[15]
K. Zeng, J. Yang, H. Wang, B. Shao, and Z. Wang. A distributed graph engine for web scale RDF data. PVLDB, 6(4), 2013.

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  1. DREAM in Action: A Distributed and Adaptive RDF System on the Cloud

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                              cover image ACM Other conferences
                              WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web
                              April 2016
                              1094 pages
                              ISBN:9781450341448
                              Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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                              • IW3C2: International World Wide Web Conference Committee

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                              International World Wide Web Conferences Steering Committee

                              Republic and Canton of Geneva, Switzerland

                              Publication History

                              Published: 11 April 2016

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                              Author Tags

                              1. distributed rdf systems
                              2. query planning
                              3. rdf
                              4. sparql

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                              • Demonstration

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                              • NPRP

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                              WWW '16
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                              • IW3C2
                              WWW '16: 25th International World Wide Web Conference
                              April 11 - 15, 2016
                              Québec, Montréal, Canada

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                              WWW '16 Companion Paper Acceptance Rate 115 of 727 submissions, 16%;
                              Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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