Paper Info
Title
A two-tier index architecture for fast processing large RDF data over distributed memory
Abstract
We propose an efficient method for fast processing large RDF data over distributed memory. Our approach adopts a two-tier index architecture on each computation node: (1) a light-weight primary index, to keep loading times low, and (2) a dynamic, multi-level secondary index, calculated as a by-product of query execution, to decrease or remove inter-machine data movement for subsequent queries that contain the same graph patterns. Experimental results on a commodity cluster show that we can load large RDF data very quickly in memory while remaining within an interactive range for query processing with the secondary index.
Year
DOI
Venue
2014
10.1145/2631775.2631789
HT
Keywords
Field
DocType
distributed databases,distributed rdf processing,dynamic indexing,query processing
Data mining,Architecture,Graph patterns,Computer science,Distributed memory,RDF,Computation
Conference
Citations 
PageRank 
References 
1
0.36
11
Authors
4
Name
Order
Citations
PageRank
Long Cheng19116.99
Spyros Kotoulas259046.46
Tomas E. Ward310419.10
Georgios Theodoropoulos433231.39