This document presents a case study to validate a new approach to develop conceptual schemas (or databases) for information systems, consisting in the refinement of a general ontology [CdPO03]. We use a well-known case ...

DROP is a global land dataset to monitor meteorological drought that gathers an ensemble of observation-based datasets providing near-real time estimates with associated uncertainty using a probabilistic approach. Accurate ...

In this paper we present a new formal context for symmetric dependencies. We study its properties and compare it with previous approaches. We also discuss how this new context may open the door to solve some open problems ...

Water and Sanitation programmes normally involve big amounts of information and several years of implementation; these are facts that justify the need of a proper monitoring. In this paper a Support Information System (SIS) ...

Today's applications, especially those in the scientific community, deal with an ever growing amount of data. Among the problems that arise from this explosion of data are how to organize the data so that the information ...

Data science requires constructing data processing pipelines (DPPs), which span diverse phases such as data integration, cleaning, pre-processing, and analysis. However, current solutions lack a strong data engineering ...

First part: classification of political speeches' titles; second part: extracting the information of politicians' characteristics from the biographies and measuring the correlation between the characteristics and the ...