Deutschlands koloniale Vergangenheit hat vielfältige Spuren in den Archiven hinterlassen. Diese Spuren zusammenzufassen und mit Informationen zu den Orten, Akteuren, Objekten und Ereignissen zu verknüpfen, ist das Ziel dieses Projekts.
Vossian antonomasia is a stylistic device which attributes a certain property to a person by naming another (more well-known, more popular) person as a reference point. For instance, when Jim Koch is described as “the Steve Jobs of Beer”, certain qualities of Steve Jobs, be it entrepreneurship or persuasiveness, are assigned to Jim Koch, co-founder and chairman of the Boston Beer Company. VAs consist of three parts: a source (in our example “Steve Jobs”) serves as paragon to elevate the target (“Jim Koch”) by applying a modifier (“of Beer”) that provides the corresponding context. VA is named after Gerardus Vossius (1577– 1649), the Dutch classical scholar and author of rhetorical textbooks, who first distinguished and described VA as a separate phenomenon.
Zum 7. Geburtstag von Wikidata spendete die ZBW – Leibniz-Informationszentrum Wirtschaft eine umfangreiche Metadatensammlung aus ihrer „Pressemappe 20. Jahrhundert“.
At the 2019 Wikimania conference, Europeana – a Europe-wide digital cultural platform – held several associated events, including the inaugural meeting of national libraries which work directly with Wikidata and its underlying software Wikibase. The event was organized by Liam Wyatt in his professional role as Europeana's Wikipedia liaison. This article was also written in that role and originally published at the Europeana blog.
In his other role as a Wikipedia volunteer he is usually called Wittylama. He is one of the founders of Project GLAM and the original Wikipedian-in-Residence - as a volunteer. Also in this role he was program chairman of Wikimania 2019 –S
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In der aktuellen Ausgabe von “ABI Technik” ist ein kurzer Text von mir in der Rubrik “ABI Technikfrage” enthalten, den ich vor gut drei Monaten geschrieben habe. Hier der Link zur Bezahlversion: https://doi.org/10.1515/abitech-2018-2013. Parallel veröffentliche ich den Wortlaut (angereichert mit Links und Anmerkungen) hier auf dem Blog unter einer CC0-Lizenz (so wie alle anderen Inhalte auch).
DIRT maintains accuracy at scale because every contributor needs to deposit tokens to write data. If the data is correct, it is freely shared. If the data is incorrect, anyone can challenge the data and earn tokens for identifying these inaccurate facts. Our protocol and platform makes it economically irrational for misinformation to persist in a data set.
A. Gonzalez-Hevia, and D. Gayo-Avello. (2022)(cs.AI), (cs.IR), (cs.LG), Artificial Computer FOS: H.3; H.4; I.2 Information Intelligence Learning Machine Retrieval and information sciences,.
F. Zhao. Digital Humanities 2022 : Conference Abstracts : The University of Tokyo, Japan 25-29 July 2022, page 608-610. Tokyo, DH2022 Local Organizing Committee, (2022)