Beam-me-up: A Tool for Importing Wikidata Entities to FactGrid

The WikibaseMigrator, also known as the Beam-me-up tool, automates the complex process of transferring data from Wikidata to FactGrid. Traditional methods such as manual creation or imports through QuickStatements and OpenRefine often prove to be time-consuming and error-prone. This new tool simplifies the entire process by automatically mapping properties and items between the two Wikibase instances, having already performed over 18,000 successful edits.

How to Migrate Entities

Starting the migration requires to select the entities to migrate. Here the input of the single ID or a list of ID is possible

The migration process requires only Wikidata IDs as input and offers three flexible input methods: you can enter a single ID, provide a comma-separated list of IDs (make sure you do not end with a comma), or use a SPARQL query. After entering the IDs in the input field, a preview table displays the selected entities with their English labels, allowing you to verify your selection before proceeding.

When you click “Run matching!”, the tool queries the selected entities’ data from Wikidata and begins the translation process.

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Quelle: https://blog.factgrid.de/archives/3857

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Job advertisement in new FactGrid project on Polish-Ukrainian history

Dear Colleagues,

As part of our Research Project „Modelling Premodern Ambivalences“ (VAMOD) at the GWZO in Leipzig we are offering a 10month position until end of December 2025. The project is funded by NFDI4Memory and will offer plenty of possibilities to build up expertise and networks within the field of Digital Humanities.

The goal of the project is to transfer research data from my first book into the Wikibase instance FactGrid in accordance with the FAIR principles. The dataset comprises approximately 800 charters with about 1,600 place names and 5,000 personal names for the present-day Polish-Ukrainian border region (“Crown Ruthenia” or “Red Ruthenia”) between 1340 and 1434. During the transfer, innovative approaches to modelling premodern political configurations will be explored, which will be documented through guidelines and best-practice recommendations, thereby making them sustainably available to the historical research community.

If you can, please share widely!



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Quelle: https://blog.factgrid.de/archives/3845

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Jüdisches Leben in Sachsen-Anhalt – ein kollaboratives Forschungsprojekt

Die Erforschung und Erhebung von Mikrodaten zu jüdischen Gemeinden erfolgt oft nicht flächendeckend für größere Räume und oftmals nur punktuell durch lokale Gruppen, Initiativen und einzelne Forscher. Eine Ausnahme bildet hier die Familiendatenbank “Juden im Deutschen Reich” von Ingo Paul, die einen großflächigeren Ansatz verfolgt, aber nur genealogische Forschungsdaten erschließt.

Das hier beschriebene Projekt auf FactGrid zielt hingegen darauf ab, für den Raum des heutigen Sachsen-Anhalts, epochenübergreifend und über reine Personendaten hinausgehend, umfassende Forschungsdaten zu jüdischen Gemeinden zu sammeln; ausgehend von genealogischen Daten bis hin zu Informationen über Gemeindestrukturen, weitere jüdische Organisationen, Gebäude, die Dokumentation von Friedhöfen, die Erschließung von Quellen, bis hin zur Kartierung von Stolpersteinen etc. Langfristig soll FactGrid dabei sowohl als zentrale Sammelplattform für die entsprechenden Forschungsdaten fungieren, als auch Vernetzungsmöglichkeiten für alle Akteure bieten, die zur vielfältigen Landschaft jüdischer Gemeinden in Sachsen-Anhalt forschen.


Abb. 1: Übersichtskarte bisher im Projekt erfasster Jüdischer Gemeinden.

In einer ersten Projektphase wurden dazu aus gängiger Forschungsliteratur und zeitgenössischen Überblickswerken alle Gemeinden auf dem Gebiet des heutigen Sachsen-Anhalt und teilweise darüber hinaus erfasst, in denen jüdisches Leben stattfand oder bis heute stattfindet.

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Quelle: https://blog.factgrid.de/archives/3824

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Von Sozialisten, Shoah-Überlebenden und dem American Dream. Das Potential von Social Philately für die Geschichtswissenschaft

Social Philately ist eine philatelistische Bewegung, die in den 1980er Jahren in Australien und Neuseeland entstand und Anfang der 2000er Jahre Europa erreichte. Diese Bewegung zielt darauf ab, traditionelle philatelistische Fragestellungen zur Analyse postalischer Belege mit einer breiteren kulturellen und sozialgeschichtlichen Kontextualisierung zu verbinden. Dabei werden nicht nur die reinen Postbelege untersucht, sondern auch die Absender und Empfänger der Briefe, der Text der Briefe oder Postkarten sowie der historische Kontext, in dem diese entstanden sind, berücksichtigt.

Für die Philatelie ist dieser Blick über den eigenen Tellerrand äußerst bereichernd. Aber auch umgekehrt bietet der Blick auf scheinbar einfache und oft irrelevant erscheinende Quellen wie Briefumschläge oder Postkarten ein enormes Potenzial für die Geschichtswissenschaft. Diese Quellen bieten einen leichten Zugang zu einer riesigen und unerschöpflichen Menge an Daten zur Alltagsgeschichte von Menschen aller Gesellschaftsschichten seit der Mitte des 19. Jahrhunderts, die im privaten Raum entstanden sind. Das Potenzial für Fragestellungen in diesem Bereich ist nahezu unbegrenzt. Es bieten sich Ansätze für die post- und kommunikationsgeschichtliche Forschung, Forschung zu Propaganda und Werbung (bspw.

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Quelle: https://blog.factgrid.de/archives/3764

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Accessing the Sessions of the Bamberg Cathedral Chapter

Conservative estimates assume that towards the end of the early modern period, more than a tenth of the population of the Holy Roman Empire lived in ecclesiastical states.1 In Franconia, the proportion was even higher.2 Almost half of the inhabitants of the Franconian Imperial District belonged to an ecclesiastical dominion, i.e. were ruled by prince-bishops or abbots. While their functions in the Germania Sacra can already be considered well researched, less is known about their co-rulers, the cathedral chapters. The Bamberg DFG project “Governance, transition management and memory of an ecclesiastical corporation. Scriptuality of the Bamberg cathedral chapter” has therefore dedicated itself to this corporation – starting with the sessions that formed the centre of the chapter’s decision making. For the project, they were collated in a database by Alissa L’Abbé and Oliver Kruk.



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Quelle: https://blog.factgrid.de/archives/3696

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Modelling Premodern Political Entities – Case Studies from Eastern Europe

Words shape our understanding of the world. Especially in times of Disinformation, we as scholars need to be sensitive about the framing in which we put the knowledge we would like to share. The obstacles of this task become even higher in Digital Humanities. When we write a paper, we might come up with lengthy explanations why something might not be that simple. But a Graph Database such as FactGrid confronts us with the challenge of describing complex, sometimes ambivalent, sometimes contradictory historical realities in a simple statement about certain objects and the relationship between them. In the following, I would like to present some problems, that came across me during a recent research Seminar at Halle University. I will present solutions, that we came up with; hopefully offering a model for others as well. While doing so, I argue that we as scholars should emphasize the importance of a qualitative sensibility for historical realities, even and especially in times, when our discipline is changing towards digital tools and Big Data.

Competing Claims and Composite Rulership



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Quelle: https://blog.factgrid.de/archives/3642

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At least a make shift solution: The “Julian calendar stabiliser”

My last blog post triggered a couple of responses on Twitter. It seems I touched a problem that will not be solved that easily.

Save a date as a Julian calendar date on your Wikibase (manually or, with the /J switch, in your QuickStatements mass input) and your Wikibase will be able to handle this date correctly in any mixed bag of Julian and Gregorian dates. It is nice that the Query Service is able to produce straight timelines out of any such mixed bag, but immensely problematic that you will be quite unable to get any of the Julian dates back in the nominal format in which you stated them on your Wikibase. Blazegraph, the tool that works behind the Query Service, does its job in a normalisation of dates, and this normalisation is, of course, done in the superior Gregorian calendar. Our Wikibase Query Services will hence produce loads of dates that will in their first wave just contradict the documentary evidence. We will then see successive deformations of these dates wherever someone fails to read them as, from here onwards, proper Gregorian. Most databases have a single calendar format: you simply enter all your dates as you read them in your documents or whatsoever source you are exploiting. Gregorianised dates should not enter any such database.

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Quelle: https://blog.factgrid.de/archives/3541

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A software that does Julian and Gregorian Calendar dates, or why Wikibase is about to lead us into utter confusion

It was in February 2019 at a conference dinner of medievalists in Jena when I was first confronted with the calendar problem which Wikibase had been posing ever since it had digested its first Julian calendar dates. I had given a Wikibase demonstration earlier that day and now I was sitting next to a medievalist who was ready to destroy me: “Wikibase”, he stated, “is a genuine disaster without anyone understanding it.”

I demanded to hear why that should be the case and He asked me to show him the first random medieval date I would find on Wikidata. I had activated my phone and landed on a 16th-century biography…

“See that small print?” he asked, “the dates are all noted as a Gregorian calendar dates before 1584.”

The qualifier was odd.

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Quelle: https://blog.factgrid.de/archives/3467

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Roscher’s Lexikon of Mythology as Linked Open Data: Starting a Project on FactGrid

In the age of Linked Open Data, the humanities have increasingly turned their attention from the mere collection of data to its modelling with ontologies and data models. In the field of Greek mythology, these approaches have started in very recent times. Alongside (or undothe creation of new databases like MANTO [1], Mythoskop [2], Theoi.com [3] and ToposText [4] (to name but a few), at least three attempts have been made to create an ontology for Greek mythology. In 2018, C. Syamili and R. V. Rekha outlined an ontology for mythical heroes with reference to Wikipedia and the Theoi project [5]. From a classicist’s point of view, R. Scott Smith of the MythLab team has written a series of blogposts with great scholarly detail, which not only address the modelling of mythical characters but also of events, objects and locations [6].

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Quelle: https://blog.factgrid.de/archives/3454

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Erste Hilfe beim Zuordnen mittelalterlicher Ortsnamen (5770 Vorschläge)

Anfang des Jahres fragten wir (ich gab die Frage für Kathleen Schnabel und das Team Robert Gramsch-Stehfests ins Netz) die Welt der “Twitter Mediävisten” nach einem klugen Tipp, wie wir gut 3000 mittelalterliche Ortsnamen identifiziert bekämen. Es handelte sich um Ortsnennungen, die Studenten, die sich zwischen 1392 und 1450 an der Uni Erfurt einschrieben, zu ihren Namen in die Matrikellisten gaben, niedergeschrieben wohl immer nach Gehör.

Der Tweet war erstaunlich erfolgreich: 13.900 mal gesehen, 115 mal geliked, 100 mal weiterversandt. Hilfreiche Antworten kamen aus allen Richtungen.

Quelle: https://blog.factgrid.de/archives/3408

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