Category: Linked open data

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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OpenMethods Spotlights #1: Interview with Hilde De Weerdt about MARKUS

OpenMethods Spotlights #1: Interview with Hilde De Weerdt about MARKUS

OpenMethods Spotlights showcase people and epistemic reflections behind Digital Humanities tools and methods. You can find here brief interviews with the creator(s) of the blogs or tools that are highlighted on OpenMethods to humanize and contextualize them. In the first episode, Alíz Horváth is talking with Hilde de Weerdt at Leiden University about MARKUS, a tool that offers offers a variety of functionalities for the markup, analysis, export, linking, and visualization of texts in multiple languages, with a special focus on Chinese and now Korean as well.

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MARKUS – Comprehensive tool with the needs of non-Latin script users in mind

MARKUS – Comprehensive tool with the needs of non-Latin script users in mind

East Asian studies are still largely underrepresented in digital humanities. Part of the reason for this phenomenon is the relative lack of tools and methods which could be used smoothly with non-Latin scripts. MARKUS, developed by Brent Ho within the framework of the Communication and Empire: Chinese Empires in Comparative Perspective project led by Hilde de Weerdt at Leiden University, is a comprehensive tool which helps mitigate this issue. Selected as a runner up in the category “Best tool or suite of tools” in the DH2016 awards, MARKUS offers a variety of functionalities for the markup, analysis, export, linking, and visualization of texts in multiple languages, with a special focus on Chinese and now Korean as well.

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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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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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Old Periodicals, a New Datatype and Spiderfied Query Results in Wikidata

Old Periodicals, a New Datatype and Spiderfied Query Results in Wikidata

Introduction: This blog post describes how the National Library of Wales makes us of Wikidata for enriching their collections. It especially showcases new features for visualizing items on a map, including a clustering service, the support of polygons and multipolygons. It also shows how polygons like the shapes of buildings can be imported from OpenStreetMap into Wikidata, which is a great example for re-using already existing information.

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Towards Semantic Enrichment of Newspapers: A Historical Ecology Use Case

Introduction: Ecologists are much aided by historical sources of information on human-animal interaction. But how does one cope with the plethora of different descriptions for the same animal in the historic record? A Dutch research group reports on how to aggregate ‘Bunzings’, ‘Ullingen’, and ‘Eierdieven’ (‘Egg-thieves’) into a useful historical ecology knowledge base.

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