1,587 research outputs found
ArCo: the Italian Cultural Heritage Knowledge Graph
ArCo is the Italian Cultural Heritage knowledge graph, consisting of a
network of seven vocabularies and 169 million triples about 820 thousand
cultural entities. It is distributed jointly with a SPARQL endpoint, a software
for converting catalogue records to RDF, and a rich suite of documentation
material (testing, evaluation, how-to, examples, etc.). ArCo is based on the
official General Catalogue of the Italian Ministry of Cultural Heritage and
Activities (MiBAC) - and its associated encoding regulations - which collects
and validates the catalogue records of (ideally) all Italian Cultural Heritage
properties (excluding libraries and archives), contributed by CH administrators
from all over Italy. We present its structure, design methods and tools, its
growing community, and delineate its importance, quality, and impact
Generating human-computer micro-task workflows from domain ontologies
With the growing popularity of micro-task crowdsourcing platforms, a renewed interest in the resolution of complex tasks that require the coopera-tion of human and machine participants has emerged. This interest has led to workflow approaches that present new challenges at different dimensions of the human-machine computation process, namely in micro-task specification and human-computer interaction due to the unstructured nature of micro-tasks in terms of domain representation. In this sense, a semi-automatic generation envi-ronment for human-computer micro-task workflows from domain ontologies is proposed. The structure and semantics of the domain ontology provides a com-mon ground for understanding and enhances human-computer cooperation.This work is partially funded by FEDER Funds and by the
ERDF (European Regional Development Fund) through the COMPETE Programme
(operational programme for competitiveness) and by National Funds through the FCT
(Portuguese Foundation for Science and Technology) under the projects AAL4ALL (QREN13852) and FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012)
Measuring dark energy spatial inhomogeneity with supernova data
The gravitational lensing distortion of distant sources by the large-scale
distribution of matter in the Universe has been extensively studied. In
contrast, very little is known about the effects due to the large-scale
distribution of dark energy. We discuss the use of Type Ia supernovae as probes
of the spatial inhomogeneity and anisotropy of dark energy. We show that a
shallow, almost all-sky survey can limit rms dark energy fluctuations at the
horizon scale down to a fractional energy density of ~10^-4Comment: 4 pages; PRL submitte
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