AtyImo - Probabilistic record linkage for massive administrative datasets
AtyImo implements data preprocessing (harmonisation, cleansing, blocking and anonymisation),
deterministic and probabilistic record linkage and machine learning-based accuracy assessment.
It runs over Spark or hybrid parallel architectures (OpenMP + CUDA).
Software download:
Related publications: go to Publications page and search for 'linkage' or
'data integration'.
CIDACS-RL - Indexing search and scoring-based record linkage system
CIDACS-RL is an iterative deterministic record linkage algorithm based on a combination of
indexing search and scoring algorithms (provided by Apache Lucene).
Software download:
Related publications: go to Publications page and search for 'cidacs-rl'.
IDS-COVID-19 - Social Disparities Index for Covid-19
This index measures the social disparities in health care associated with Covid-19 in
Brazilian municipalities, and is a potential tool to support pandemic-related decision
making for administrators and community groups, as well as helping Covid-19 research and education.
Related publications: go to Publications page and search for 'covid'.
IMAPI - Early Childhood Friendly Municipal Index
Partnership among University of BrasÃlia, UFBA and Yale to build a performance index
based on the five domains of the Nurturing Care Framework to all the 5,570 Brazilian municipalities.
Related publications: go to Publications page and search for 'imapi' or 'nurturing care'.
Visual mining and predictive analysis of malaria data
This tool allows for descriptive and some predictive analysis over the
National Database of Malaria Episodes. Aggregated data from SIVEP (malaria surveillance data
from the Amazonian region), SINAN-Malaria (malaria surveillance data from extra-Amazonian region),
SIM (mortality data), climate data and Vetores-Malaria (vector control data).
Related publications: go to Publications page and search for 'malaria'.
IEEE Standard for Autonomous Robotics (AuR) Ontology (1872.2-2021)
This standard extends IEEE Std 1872-2015, IEEE Standard for Ontologies for Robotics
and Automation, to represent additional domain-specific concepts, definitions, and axioms
commonly used in Autonomous Robotics (AuR). This standard is general and can be used
in many ways--for example, to specify the domain knowledge needed to unambiguously describe
the design patterns of AuR systems; to represent AuR system architectures in a unified way;
or as a guideline to build autonomous systems consisting of robots operating in various environments.
Related publications: go to Publications page and search for 'ontology' or 'robotic'.
IEEE Standard Ontologies for Robotic and Automation (1872-2015)
A core ontology specifying the most general concepts, relations, and axioms of
robotics and automation (R&A) is defined in this standard, which is intended as a reference
for knowledge representation and reasoning in robots, as well as a formal reference vocabulary
for communicating knowledge about R&A between robots and humans. This standard is composed of a
core ontology about R&A, called CORA, together with other ontologies that give support to CORA.
