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Title A Succinct Data Structure for Self-indexing Ternary Relations
Authors Sandra Alvarez-GarcĂ­a, Guillermo de Bernardo, Nieves Brisaboa, Gonzalo Navarro
Publication date 2017
Abstract The representation of binary relations has been intensively
studied and many different theoretical and practical representations
have been proposed to answer the usual queries in multiple domains.
However, ternary relations have not received as much attention,
even though many real-world applications require the processing of ternary
relations.
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In this paper we present a new compressed and self-indexed data
structure that we call Interleaved k2-tree (ik2-tree), designed to
compactly represent and efficiently query general ternary relations.
The ik2-tree is an evolution of an existing data structure, the
k2-tree, initially designed to represent Web graphs
and later applied to other domains. The ik2-tree is able to extend
the k2-tree to represent a ternary relation, based on the idea of
decomposing it into a collection of binary relations but providing
indexing capabilities in all the three dimensions. We present
different ways to use ik2-tree to model different types of ternary
relations using as reference two typical domains: RDF and Temporal
Graphs. We also experimentally evaluate our representations
comparing them in space usage and performace with other solutions of
the state of the art.
Pages 38-53
Volume 43
Journal name Journal of Discrete Algorithms
Publisher Elsevier Science (Amsterdam, The Netherlands)
Reference URL View reference page