Annotated Dataset of Damaged Cultural Sites and Infrastructures during the...
- zenodo.org
bin, csv, zipUpdated Dec 29, 2024
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EmailClick to copy linkLink copiedCiteShuai Wang; Shuai Wang; Oleksandr Berezko; Oleksandr Berezko; Eirik Kultorp; Eirik Kultorp; Max Stefashko; Max Stefashko; Sofiia Fedak; Sofiia Fedak; Olena Denyshchuk; Olena Denyshchuk (2024). Annotated Dataset of Damaged Cultural Sites and Infrastructures during the Russian invasion of Ukraine [Dataset]. http://doi.org/10.5281/zenodo.14569340zip, bin, csvAvailable download formatsUnique identifierhttps://doi.org/10.5281/zenodo.14569340Dataset updatedDec 29, 2024AuthorsShuai Wang; Shuai Wang; Oleksandr Berezko; Oleksandr Berezko; Eirik Kultorp; Eirik Kultorp; Max Stefashko; Max Stefashko; Sofiia Fedak; Sofiia Fedak; Olena Denyshchuk; Olena DenyshchukLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyTime period coveredOct 31, 2024Area coveredUkraine, RussiaDescriptionThis is the dataset for our paper Linked4Resilience: Linked Open Data for Data-Centric Resilience of Damaged Cultural Properties and Infrastructures in Ukraine presented in 2024 at the 3rd International Workshop on Social Communication and Information Activity in Digital Humanities, October 31, 2024, Lviv, Ukraine.
The dataset consists of annotated cultural sites damaged in Ukraine during the Russian invasion of Ukraine. The source of the UNESCO and ScienceAtRisk webpages are included.
Among the 351 damaged cultural properties published by UNESCO, only 211 meet our criteria and were included. More details can be found on our website: https://linked4resilience.eu .
The SPARQL endpoint of our datasets and use cases can be found on TriplyDB: https://triplydb.com/linked4resilience/cultural-sites-poc-v2/graphs.
The annotation criteria and other details can be found in the paper.
The license is CC-BY NC 4.0. The authors should be informed of any derivation and use.
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MetaLink - Closure and Error Degree of 556M owl:sameAs statements
- data.niaid.nih.gov
- zenodo.org
Updated Jan 24, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCiteVan Harmelen, Frank (2020). MetaLink - Closure and Error Degree of 556M owl:sameAs statements [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3227975Dataset updatedJan 24, 2020Dataset provided byBeek, Wouter
Raad, Joe
Acar, Erman
Van Harmelen, FrankLicenseAttribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
License information was derived automaticallyDescriptionMetaLink is a dataset that contains metadata for a very large set of owl:sameAs links that are crawled from the LOD Cloud. MetaLink encodes a previously published error metric for each of these links [Raad et al., 2018]. This error degree ranges from 0.0 (most likely correct) till 1.0 (most likely incorrect). The idea is that the more an owl:sameAs link is isolated in the network (of all owl:sameAs links), the higher error degree this link will have. Experiments shows that discarding the 1M owl:sameAs links with an error degree >0.99 can significantly increase the quality of the transitive closure. Also by keeping only the 400M owl:sameAs links with error degree <= 0.4, the resulting closure is 100% precise in several manually evaluated cases. The resulted equivalence classes from these different closures are publicly available online.
MetaLink is published in combination with LOD-a-lot, a dataset that is based on a very large crawl of a subset of the LOD Cloud. By combining MetaLink and LOD-a-lot, applications are able to make informed decisions about whether or not to follow specific links on the LOD Cloud. This dataset contains 4,352,602,452 unique triples, and is available in HDT (Header Dictionary Triples) format. It can be navigated online using the TriplyDB Linked Data hosting platform: https://krr.triply.cc/krr/metalink.
A figure describing the vocabulary of the MetaLink dataset can be found here. Classes are displayed by circles and properties are displayed by arcs. The MetaLink-specific classes and properties are displayed in red, the blue classes and properties are reused from existing vocabularies.
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FacebookTwitterEmailAnnotated Dataset of Damaged Cultural Sites and Infrastructures during the Russian invasion of Ukraine
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is the dataset for our paper Linked4Resilience: Linked Open Data for Data-Centric Resilience of Damaged Cultural Properties and Infrastructures in Ukraine presented in 2024 at the 3rd International Workshop on Social Communication and Information Activity in Digital Humanities, October 31, 2024, Lviv, Ukraine.
The dataset consists of annotated cultural sites damaged in Ukraine during the Russian invasion of Ukraine. The source of the UNESCO and ScienceAtRisk webpages are included.
Among the 351 damaged cultural properties published by UNESCO, only 211 meet our criteria and were included. More details can be found on our website: https://linked4resilience.eu .
The SPARQL endpoint of our datasets and use cases can be found on TriplyDB: https://triplydb.com/linked4resilience/cultural-sites-poc-v2/graphs.
The annotation criteria and other details can be found in the paper.
The license is CC-BY NC 4.0. The authors should be informed of any derivation and use.