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

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type , Article 10 Jul 2019 English Publisher:ZenodoFunded by:EC | CLS INFRA

Authors: Fischer, Frank; Börner, Ingo; Göbel, Mathias; Hechtl, Angelika; Kittel, Christopher; Milling, Carsten; Trilcke, Peer;

doi: 10.5281/zenodo.4284001 , 10.5281/zenodo.4284002

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

- Summary
- Subjects
- Metrics

Abstract

DraCor (short for "drama corpora") is a growing collection of TEI-encoded plays in (mostly) European languages. The project showcases the concept of "Programmable Corpora", conceived as research ecosystems revolving around an API that provides access to bespoke slices of extracted data. DraCor also exposes a SPARQL endpoint to connect its semantic entities (authors, plays, characters, etc.) to the Linked Open Data cloud.

Related Organizations

University of Graz
Austria
Göttingen State and University Library
Germany
National Research University Higher School of Economics
Russian Federation
University of Potsdam
Germany
Vienna University of Economics and Business

View all View all

Keywords

Digital Humanities, Literary Studies, FOS: Languages and literature, Text Encoding Initiative, Linked Open Data, Drama

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	12
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%