activity
20092020
most citedUniversal Indexes for Highly Repetitive Document Collections

32 citations · 65 across the 11 of their papers we have counts for

collaborators

13 papers

cs.DS2020★ 3 cited

Space/time-efficient RDF stores based on circular suffix sorting

Nieves R. Brisaboa, Ana Cerdeira-Pena, Guillermo de Bernardo +2

In recent years, RDF has gained popularity as a format for the standardized publication and exchange of information in the Web of Data. In this paper we introduce RDFCSA, a data st…

cs.DS2020

Semantrix: A Compressed Semantic Matrix

Nieves R. Brisaboa, Antonio Fariña, Gonzalo Navarro +1

We present a compact data structure to represent both the duration and length of homogeneous segments of trajectories from moving objects in a way that, as a data warehouse, it all…

cs.DB2020

Revisiting compact RDF stores based on k2-trees

Nieves R. Brisaboa, Ana Cerdeira-Pena, Guillermo de Bernardo +1

We present a new compact representation to efficiently store and query large RDF datasets in main memory. Our proposal, called BMatrix, is based on the k2-tree, a data structure de…

cs.DS2019★ 4 cited

On the Reproducibility of Experiments of Indexing Repetitive Document Collections

Antonio Fariña, Miguel A. Martínez-Prieto, Francisco Claude +4

This work introduces a companion reproducible paper with the aim of allowing the exact replication of the methods, experiments, and results discussed in a previous work [5]. In tha…

cs.DS2019★ 3 cited

New structures to solve aggregated queries for trips over public transportation networks

Nieves R. Brisaboa, Antonio Fariña, Daniil Galaktionov +2

Representing the trajectories of mobile objects is a hot topic from the widespread use of smartphones and other GPS devices. However, few works have focused on representing trips o…

cs.DS2019★ 1 cited

Dv2v: A Dynamic Variable-to-Variable Compressor

Nieves R. Brisaboa, Antonio Fariña, Adrián Gómez-Brandón +2

We present Dv2v, a new dynamic (one-pass) variable-to-variable compressor. Variable-to-variable compression aims at using a modeler that gathers variable-length input symbols and a…