A succinctdata structure for self-indexing ternary relations
Author
dc.contributor.author
Álvarez García, Sandra
Author
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Bernardo, Guillermo de
Author
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Brisaboa, Nieves R.
Author
dc.contributor.author
Navarro, Gonzalo
Admission date
dc.date.accessioned
2018-05-22T14:47:26Z
Available date
dc.date.available
2018-05-22T14:47:26Z
Publication date
dc.date.issued
2017
Cita de ítem
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Journal of Discrete Algorithms 43(2017) 38–53
es_ES
Identifier
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http://dx.doi.org/10.1016/j.jda.2016.10.002
Identifier
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https://repositorio.uchile.cl/handle/2250/147985
Abstract
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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.
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[6], 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 performancewith other solutions of the state of the art.
es_ES
Patrocinador
dc.description.sponsorship
European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No.690941 / MINECO Grant TIN2013-46238-C4-3-R, GRC2013/053 / Millennium Nucleus Information and Coordination in Networks ICM/FIC RC130003 / Fondecyt Grant 1-140796