Introduction to DraCor – Programmable Corpora for Digital Drama Analysis

Workshop ID:

WT-12

Workshop Title:

Introduction to DraCor – Programmable Corpora for Digital Drama Analysis

Organizers:

Ingo Börner, Frank Fischer, Carsten Milling, Peer Trilcke, Henny Sluyter-Gäthje

Time (in JST and UTC):

July 25 23:00-July 26 2:30 (JST)

July 25 14:00-17:30 (UTC)

Maximum number of participants:

25

Description:

The workshop provides a practical introduction to DraCor (https://dracor.org), an open platform for researching drama, and aims to give an overview of the rich methods of digital drama analysis. DraCor revolves around the concept of 'Programmable Corpora', an infrastructural approach to facilitate access to open, research-prone, extensible and linked-open-data-friendly full-text corpora. Research questions from the field of computational literary studies should thus become easier to implement and reproduce.

Aim of the workshop/tutorial:

The workshop provides a practical introduction to DraCor (https://dracor.org), an open platform for researching drama, and will give an overview of the rich methods of digital drama analysis. The workshop is aiming at scholars

• who work or would like to work with literary texts, in particular plays or other performance texts;

• would like to create their own corpora or reuse already existing ones;

• want to learn methods of digital drama analysis (literary network analysis, stylometry);

• are interested in the possibilities of researching literary texts using Linked Open Data.

Participants will learn how to prepare data as TEI-XML, query it by using the DraCor API with Python and get a brief introduction to SPARQL.

Outline:

The workshop will start with a short presentation of the 'Programmable Corpora' concept, accompanied by a demonstration of all the components of the DraCor platform. Hands-on tutorials will give participants a practical introduction to creating and curating their own drama corpora for analysis with DraCor. The use of the DraCor API and the Python library PyDraCor is explained by means of practical examples using methods such as stylometry and network analysis. The Application Programming Interface (API) allows customized direct access to specific parts of the corpora. The possibilities for cross-corpora queries and inclusion of information from the Linked Open Data cloud using SPARQL will also be explored.