Results 51 to 60 of about 224,138 (203)
Representing Dataset Quality Metadata using Multi-Dimensional Views
, 2014 Data quality is commonly defined as fitness for use. The problem of identifying quality of data is faced by many data consumers. Data publishers often do not have the means to identify quality problems in their data.
Auer, Sören +2 more
core +1 more source
Constructing a knowledge graph for open government data: the case of Nova Scotia disease datasets
Journal of Biomedical Semantics, 2023 The majority of available datasets in open government data are statistical. They are widely published by various governments to be used by the public and data consumers.
Enayat Rajabi +2 more
doaj +1 more source
The nature of the LINER in the galaxy NGC 404
, 2010 NGC 404, at a distance of 3.4 Mpc, is the nearest S0 galaxy. This galaxy harbors a LINER; however, since the spectrum does not show a broad H{\alpha} emission, it is not certain that this LINER is a low luminosity AGN and its nature is still an open ...
Menezes, Roberto B. +3 more
core +1 more source
Practical Cube Attack against Nonce-Misused Ascon
IACR Transactions on Symmetric Cryptology, 2022 Ascon is a sponge-based Authenticated Encryption with Associated Data that was selected as both one of the winners of the CAESAR competition and one of the finalists of the NIST lightweight cryptography standardization effort.
Jules Baudrin +2 more
doaj +1 more source
Adding value to Linked Open Data using a multidimensional model approach based on the RDF Data Cube vocabulary [PDF]
Computer Standards & Interfaces, 2020 Most organisations using Open Data currently focus on data processing and analysis. However, although Open Data may be available online, these data are generally of poor quality, thus discouraging others from contributing to and reusing them. This paper describes an approach to publish statistical data from public repositories by using Semantic Web ...
Escobar Esteban, María Pilar +4 more
openaire +2 more sources
Towards an AI Cube for EO data inference in a distributed infrastructure
Big Earth DataGeospatial data cubes show great promise to facilitate integrated and efficient analysis of big Earth Observation (EO) data. Existing geospatial data cube processing focuses more on traditional geoprocessing algorithms. It is still unknown how to enhance
Peng Yue, Kaixuan Wang
doaj +1 more source
Paving the Way to Increased Interoperability of Earth Observations Data Cubes
Data, 2019 Earth observations data cubes (EODCs) are a paradigm transforming the way users interact with large spatio-temporal Earth observation (EO) data. It enhances connections between data, applications and users facilitating management, access and use of ...
Gregory Giuliani +4 more
doaj +1 more source
Big Earth Data, 2020 Avoiding, reducing, and reversing land degradation and restoring degraded land is an urgent priority to protect the biodiversity and ecosystem services that are vital to life on Earth.
Gregory Giuliani +5 more
doaj +1 more source
Data Cube on Demand (DCoD): Generating an earth observation Data Cube anywhere in the world
International Journal of Applied Earth Observations and Geoinformation, 2020 To tackle Big Data challenges such as Volume, Variety, and Velocity, the Earth Observations Data Cube (EODC) concept has emerged as a solution for lowering barriers and offering new possibilities to harness the information power of satellite EO data ...
Gregory Giuliani +4 more
doaj +1 more source
IFU spectroscopy of 10 early type galactic nuclei: II - Nuclear emission line properties
, 2014 Although it is well known that massive galaxies have central black holes, most of them accreting at low Eddington ratios, many important questions still remain open.
Menezes, R. B. +2 more
core +1 more source