Towards a Sustainable and Collaborative Data Model for Periodical Studies

Schelstraete, Jasper; Remoortel, Marianne Van

doi:10.1080/13688804.2018.1481374

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…To accurately take stock of women editors in Europe over the period 1710-1920, the WeChangEd team developed a data model [16]. Using the collaborative object-oriented relational database-based research environment nodegoat 3 e.g.…”

Section: Wechanged Data Modelmentioning

confidence: 99%

“…We wrote a query to return items that have WeChangEd Id and image. 16 This query is a request for all items in Wikidata from the WeChangEd dataset that have a link to one or more images in Wikimedia Commons, the media repository of the Wikimedia Foundation. This query allows the WeChangEd team to quickly find images they can use to illustrate their projects and publications.…”

Section: How Alignment With Wikidata Enhanced Wechangedmentioning

confidence: 99%

“…https://stories.wechanged.ugent.be/16 https://w.wiki/xZb A query for all items with a WeChangEd id and an image. 17 https://w.wiki/xZc Query for all items in Wikidata from the WeChangEd dataset that have one or more other items named after them 18.…”

mentioning

confidence: 99%

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Linking women editors of periodicals to the Wikidata knowledge graph

Remoortel¹,

Birkholz²,

Potter

et al. 2022

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Stories are important tools for recounting and sharing the past. To tell a story one has to put together diverse information about people, places, time periods, and things. We detail here how a machine, through the power of Semantic Web, can compile scattered and diverse materials and information to construct stories. Through the example of the WeChangEd research project on women editors of periodicals in Europe from 1710–1920 we detail how to move from archive, to a structured data model and relational database, to Wikidata, to the use of the Stories Services API to generate multimedia stories related to people, organizations and periodicals. As more humanists, social scientists and other researchers choose to contribute their data to Wikidata we will all benefit. As researchers add data, the breadth and complexity of the questions we can ask about the data we have contributed will increase. Building applications that syndicate data from Wikidata allows us to leverage a general purpose knowledge graph with a growing number of references back to scholarly literature. Using frameworks developed by the Wikidata community allows us to rapidly provision interactive sites that will help us engage new audiences. This process that we detail here may be of interest to other researchers and cultural heritage institutions seeking web-based presentation options for telling stories from their data.

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Section: Wechanged Data Modelmentioning

confidence: 99%

Section: How Alignment With Wikidata Enhanced Wechangedmentioning

confidence: 99%

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Linking women editors of periodicals to the Wikidata knowledge graph

Remoortel¹,

Birkholz²,

Potter

et al. 2022

Self Cite

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Big translation history

Roig-Sanz

Fólica

2021

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This article proposes the term Big Translation History (BTH) to describe a translation history that can be analysed computationally and that we define as involving: (1) large-scale research (geographical and chronological); (2) massive data understood as big data, accompanied by little data, and drawing on a wide range of often heterogeneous and non-structured sources; and (3) the use of computational techniques as part of the research process, and for the production of knowledge, rather than helping only with visualisation of data. We advance the hypothesis that one of the main possibilities of BTH, as a conceptual framework and a methodology, is to help decentralize translation history and literary and cultural history, in a broad sense. The article goes on to present an analysis of the circulation of literary translations and the agents involved in the Spanish-speaking world between 1898 and 1945 as a case study in BTH.

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British-Chilean Newspapers: from Informal Empire to Hybridity in Print

Hayward,

Prain-Brice

2024

Media History

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Towards a Sustainable and Collaborative Data Model for Periodical Studies

Cited by 4 publications

References 17 publications

Linking women editors of periodicals to the Wikidata knowledge graph

Linking women editors of periodicals to the Wikidata knowledge graph

Big translation history

British-Chilean Newspapers: from Informal Empire to Hybridity in Print

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