Various graphs such as web or social networks may contain up to trillions of edges.
Compressing such datasets can accelerate graph processing by reducing the amount of I/O …

Abstract Essential Biodiversity Variables (EBV) are fundamental variables that can be used
for assessing biodiversity change over time, for determining adherence to biodiversity policy …

Ontology-based data access (OBDA) facilitates access to heterogeneous data sources
through the mediation of an ontology (eg OWL), which captures the domain of interest and is …

In this work, we propose a framework to store and manage spatial data, which includes new
efficient algorithms to perform operations accepting as input a raster dataset and a vector …

Array DBMSs strive to be the best systems for managing, processing, and even visualizing
big Nd arrays. The last decade blossomed with R&D in array DBMS, making it a young and …

The raster model is commonly used for the representation of images in many domains, and
is especially useful in Geographic Information Systems (GIS) to store information about …

Abstract The Block Tree is a data structure for representing repetitive sequences in
compressed space, which reaches space comparable with that of Lempel–Ziv compression …

Multiple land use and land cover (LUC) datasets are available for the analysis of LUC
changes (LUCC) in distinct territories. Sometimes, different LUCC results are produced to …

In the context of Big Data scenarios, the presence of extensive static datasets is not
uncommon. To facilitate efficient queries on such datasets, the utilization of multiple indexes …

This paper proposes a lossless coder for real-time processing and compression of
hyperspectral images. After applying either a predictor or a differential encoder to reduce the …