DATASET: Art Historians Wikidata Dbpedia Viaf GNB ULAN

DATASET Query Run Date: September 20, 2018

Resources for Linked Open Data: Art Historians in Wikidata and Wikipedia with IDs, birth, death 

DOWNLOAD CSV ART HISTORIANS


DOWNLOAD GOOGLE SPREADSHEET ART HISTORIANS


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Sparql Query in Wikidata that, for a Wikidata item, derives the DBpedia ID from Wikipedia in English. *

Note: This query shows only those art historians who have both a Wikidata and a Wikipedia entry in English. (The results are different for each language)
The Dataset includes, for people with "occupation" of "art historian" the DBpedia URL, WIKIDATA ID, VIAF, ULAN, BNF, GND, Birth and Death Date, and the Library of Congress ID where available. 

Number of records: 2661

Wikidata Sparql Query

PREFIX schema:

PREFIX schema:

PREFIX schema: # Get DBpedia URIs for Wikidata objects by converting them from Wikipedia URLs SELECT ?dbpediaId ?item ?VIAF_ID ?ULAN_ID ?BnF_ID ?GND_ID ?date_of_birth ?date_of_death ?Library_of_Congress_authority_ID WHERE { ?item wdt:P106 wd:Q1792450. ?sitelink schema:about ?item. ?sitelink schema:isPartOf . BIND(URI(CONCAT("http://dbpedia.org/resource/", SUBSTR(STR(?sitelink), 31))) AS ?dbpediaId) OPTIONAL { ?item wdt:P214 ?VIAF_ID. } OPTIONAL { ?item wdt:P245 ?ULAN_ID. } OPTIONAL { ?item wdt:P268 ?BnF_ID. } OPTIONAL { ?item wdt:P227 ?GND_ID. } OPTIONAL { ?item wdt:P569 ?date_of_birth. } OPTIONAL { ?item wdt:P570 ?date_of_death. } OPTIONAL { ?item wdt:P244 ?Library_of_Congress_authority_ID. } OPTIONAL { } OPTIONAL { } OPTIONAL { } } LIMIT 4000


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* many thanks to the developer

Top Art Looting Investigation Unit Red List Names (by Frequency)

FOLD3: digitized from the NARA microfilm publication, M1782
https://www.fold3.com/title/631/wwii-oss-art-looting-investigation-reports/description

In 1946 the OSS Art Looting Investigation Unit published its Final Report. The Report was accompanied by an Index of Names and a summary of findings called the Red Flag List of Names.

The Red Flag List of Names, while not exhaustive, is extremely interesting for network analysis because of its prosopographical approach, A name could be mentioned more more than a hundred times, with extensive links to others, or only once, with a couple of links.
The document was classified and basically unavailable for many years.

But today, nearly twenty years after the  Washington Conference Principles on Nazi-Confiscated Art, what is known of these Red Flag names?
How are they reflected in authority files?

Publishing open linked data: Tableminer and Austrian data portals

In this interesting paper, Tomas Knap looks at using Tableminer+ to help transform CSV files from Austrian data portals,  http://www.data.gv.at and http://www.opendataportal.at, into Linked Open Data.

Quote

"To leverage CSV files to Linked Data3 , it is necessary to 1) classify CSV columns based on its content and context against existing knowledge bases 2) assign RDF terms (HTTP URLs, blank nodes and literals) to the particular cell values according to Linked Data principles (HTTP URL identifiers may be reused from one of the existing knowledge bases), 3) discover relations between columns based on the evidence for the relations in the existing knowledge bases, and 4) convert CSV data to RDF data properly using data types, language tags, well-known Linked Data vocabularies, etc" - 

from: "Increasing Quality of Austrian Open Data by Linking them to Linked Data Sources: Lessons Learned?" by Tomas Knap, Charles University in Prague, Faculty of Mathematics and Physics,  Czech Republic, Semantic Web Company, Vienna, Austria
Read more: at http://ceur-ws.org/Vol-1585/ldq2016_paper_01.pdf