Semantic Data Integration Sample Clauses

Semantic Data Integration. ‌ Semantic data integration is one of the tasks mentioned in the previous section. There are two aspects to it: • Interlinking the selected datasets by using predicates such as skos:exactMatch and owl:sameAs • Loading the datasets into the same semantic repository, so the links can take effect. This is required in order to have a unified space of concepts. It would be very bad to treat aat:30002466822 "knife" as a different concept from enwiki:Knife, because that would present the user with two disconnected concepts that are in fact the same. Only 1% of AAT is coreferenced to Wikipedia, which is a shame since AAT is such key thesaurus in CH. We looked at ways to coreference more of AAT (we expect that 25-30k of AAT's 40k concepts will be present in Wikipedia), and will use 2 approaches: • We found existing basic coreferences AATWordNet created by Xxxx Xxxxxx as part of Europeana Connect, covering 15k concepts (38% of AAT). BabelNet on the other hand includes WordNet-Wikipedia correspondences. We need to transform (bring forward) the old Europeana Connect coreferences into the latest versions of AAT and WordNet. Then convince the BabelNet authors to provide us a more liberal access key, so we can fetch the relevant WordNetWikipedia links that we need. This is described at Wikidata's WikiProject Authority control23 As a fallback strategy, we could use a 2-step prioritized semantic processing pipeline: • The first step matches against Wikidata • Only if there is no match, the second step matches against AAT However such approach is less flexible and harder to add more datasets to. 22 xxxx://xxx.xxxxx.xxx/vow/AATFullDisplay?find=&logic=AND&note=&subjectid=300024668 23 xxxxx://xxx.xxxxxxxx.xxx/wiki/Wikidata:WikiProject_Authority_control#Coreference_AAT_through_BabelNet
Sample 1
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