Results 21 to 30 of about 6,764,705 (129)

Using Wikibase as a Platform to Develop a Semantic TDWG Standard

Biodiversity Information Science and Standards, 2019
In the ABCD 3.0 Project the ABCD (Access to Biological Collection Data) Standard (Access to Biological Collections Data task group 2007) was transformed from a classic XML Schema into an OWL (Web Ontology Language) ontology (along side an updated ...
D. Fichtmüller, Fabian Reimeier, A. Güntsch   +2 more
semanticscholar   +1 more source

An introduction to the LD4 Wikibase Working Hour [PDF]

, 2022
A brief introduction to Wikibase, the set of software extensions for MediaWiki that powers the massive online linked open dataset Wikidata. The session will also briefly cover the activities of the LD4 Wikibase Working Hour, which seeks to promote ...
Mendenhall, Timothy R.
core   +2 more sources

How do you Develop a Data Standard? Wikibase might be the Solution…

Biodiversity Information Science and Standards, 2020
Data standards allow us to aggregate, compare, compute and communicate data from a wide variety of origins. However, for historical reasons, data are most likely to be stored in many different formats and conform to different models. Every data set might
Maarten Trekels, Matt Woodburn, Sharon Grant, Kate Webbink, Janeen Jones, Q. Groom   +5 more
semanticscholar   +1 more source

Environmental impact assessment reports in Wikidata and a Wikibase [PDF]

, 2023
Environmental impact assessment (EIA) is a required process for projects in many countries, which results in the preparation and publication of a detailed report. Such EIA reports describe impacts on, e.g., humans and the environment.
Butzbach, Annika, Garigliotti, Darío, Hose, Katja, Kørnøv, Lone, Lyhne, Ivar, Nielsen, Finn Årup, Ravn Boess, Emilia   +6 more
core  

Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard

Geoscientific Model Development, 2023
. An operational ocean and sea ice forecast model, Barents-2.5, is implemented for short-term forecasting at the coast off northern Norway, the Barents Sea, and the waters around Svalbard.
J. Röhrs, Y. Gusdal, Edel S. U. Rikardsen, Marina Durán Moro, Jostein Brændshøi, N. Kristensen, Sindre Fritzner, Keguang Wang, A. Sperrevik, Martina Idžanović, T. Lavergne, J. Debernard, K. Christensen   +12 more
semanticscholar   +1 more source

MetaBelgica Project: A Linked Data Infrastructure Between Federal Scientific Institutes in Belgium [PDF]

, 2023
Trustworthy metadata about entities related to cultural heritage is important to correctly identify bibliographic meta-data, attribute works, identify works of public domain (based on contributors’ date of death), or to support Named Entity Linking (NEL)
Angenon, Els, Birkholz, Julie, Buelinckx, Erik, Coudyzer, Eva, De Witte, Dieter, Lasaracina, Karine, Lieber, Sven, Lowagie, Hannes, Van Camp, Ann   +8 more
core   +1 more source

Data space inversion for efficient uncertainty quantification using an integrated surface and sub-surface hydrologic model

Geoscientific Model Development, 2023
. It is incumbent on decision-support hydrological modelling to make predictions of uncertain quantities in a decision-support context. In implementing decision-support modelling, data assimilation and uncertainty quantification are often the most ...
H. Delottier, J. Doherty, P. Brunner
semanticscholar   +1 more source

Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation

, 2019
A type description is a succinct noun compound which helps human and machines to quickly grasp the informative and distinctive information of an entity.
Chen, Jiangjie, Feng, Suo, Jiang, Haiyun, Li, Chenguang, Wang, Ao, Xiao, Yanghua   +5 more
core   +1 more source

The knowledge graph as the default data model for learning on heterogeneous knowledge

Data Science, 2017
In modern machine learning, raw data is the pre-ferred input for our models. Where a decade ago data scien-tists were still engineering features, manually picking out the details they thought salient, they now prefer the data in their raw form.
Xander Wilcke, Peter Bloem, V. D. Boer
semanticscholar   +1 more source

OSeMOSYS Global, an open-source, open data global electricity system model generator

Scientific Data, 2022
This paper describes OSeMOSYS Global, an open-source, open-data model generator for creating global electricity system models for an active global modelling community.
T. Barnes, A. Shivakumar, Maarten Brinkerink, T. Niet   +3 more
semanticscholar   +1 more source