Tag: Linked Open Data

wikipedia_id:11174052:en;wikidata_id:Q515701:en

Programmable Corpora: Introducing DraCor, an Infrastructure for the Research on European Drama

Programmable Corpora: Introducing DraCor, an Infrastructure for the Research on European Drama

Introduction: The DraCor ecosystem encourages various approaches to the browsing and consultation of the data collected in the corpora, like those detailed in the Tools section: the Shiny DraCor app (https://shiny.dracor.org/), along with the SPARQL queries and the Easy Linavis interfaces (https://dracor.org/sparql and https://ezlinavis.dracor.org/ respectively). The project, thus, aims at creating a suitable digital environment for the development of an innovative way to approach literary corpora, potentially open to collaborations and interactions with other initiatives thanks to its ontology and Linked Open data-based nature.
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Das Projekt “GND für Kulturdaten” (GND4C)

Das Projekt “GND für Kulturdaten” (GND4C)

Introduction: Standardized metadata, linked meaningfully using semantic web technologies are prerequisites for cross-disciplinary Digital Humanities research as well as for FAIR data management. In this article from the Open Access Journal o-bib, members of the project „GND for Cultural Data“ (GND4C) describe how the Gemeinsame Normdatei (GND) (engl.  Integrated Authority File), a widely accepted vocabulary for description and information retrieval in the library world is maintained by the German National Library and how it supports semantic interoperability and reuse of data. It also explores how the GND can be utilized and advanced collaboratively, integrating the perspectives of its multidisciplinary stakeholders, including the Digital Humanities. For background reading, the training resources „Controlled Vocabularies and SKOS“ (https://campus.dariah.eu/resource/controlled-vocabularies-and-skos) or „Formal Ontologies“ (https://campus.dariah.eu/resource/formal-ontologies-a-complete-novice-s-guide) are of interest.

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Exposing legacy project datasets in Digital Humanities | King’s Digital Lab

Exposing legacy project datasets in Digital Humanities | King’s Digital Lab

Introduction: Issues around sustaining digital project outputs after their funding period is a recurrent topic on OpenMethods. In this post, Arianna Ciula introduces the King’s Digital Lab’s solution, a workflow around their CKAN  (Comprehensive Knowledge Archive Network) instance, and uncovers the many questions around not only maintaining a variety of legacy resources from long-running projects, but also opening them up for data re-use, verification and integration beyond siloed resources.

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Approaching Linked Data

Approaching Linked Data

Introduction: Linked Data and Linked Open Data are gaining an increasing interest and application in many fields. A recent experiment conducted in 2018 at Furman University illustrates and discusses some of the challenges from a pedagogical perspective posed by Linked Open Data applied to research in the historical domain.

“Linked Open Data to navigate the Past: using Peripleo in class” by Chiara Palladino describes the exploitation of the search-engine Peripleo in order to reconstruct the past of four archeologically-relevant cities. Many databases, comprising various types of information, have been consulted, and the results, as highlighted in the contribution by Palladino, show both advantages and limitations of a Linked Open Data-oriented approach to historical investigations.

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Europeana and the FAIR principles for research data | Europeana Pro

Europeana and the FAIR principles for research data | Europeana Pro

Introduction: The FAIR Data Principles (Findable, Accesible, Interoperable, Reusable) aim to make clear the need to improve the infrastructure for reuse of scholarly data. The FAIR Data Principles emphasize the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals, key activities for Digital Humanities research. The post below summarizes how Europeana’s principles (Usable, Mutual, Reliable) align with the FAIR Data ones, enhancing the findability, accessibility, interoperability, and reuse of digitised cultural heritage.

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