Universität Wien
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136033 SE Linked data in the Humanities (2022S)

4.00 ECTS (3.00 SWS), SPL 13 - Europäische und Vergleichende Sprach- und Literaturwissenschaft
Continuous assessment of course work
MIXED
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 07.03. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 14.03. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 21.03. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 28.03. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 04.04. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 25.04. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 02.05. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 09.05. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 16.05. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 23.05. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 30.05. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 13.06. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 20.06. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 27.06. 15:05 - 18:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9

Information

Aims, contents and method of the course

The digitisation of cultural heritage and historical data has created previously unimagined possibilities for humanities researchers. We now have instant, online access to databases harvested from museum collections, archives and libraries, and researchers can access and use data and materials stored in any location, at any time, from anywhere in the world.

At the heart of this innovation are the principles of big data and linked open data - both inherited from the natural and social sciences - which are being reimagined for use by historians, classicists, museuologists, art historians, literary scholars and librarians.

This seminar will offer students an introduction to the theoretical background and practical uses of Linked Open Data in the digital humanities, thorugh a combination of conceptual discussions and hands on, practical workshop sessions.

By the end of the semester, students should have a clear understanding of the concepts behind linked open data, how it is used, and how it is created. This will include topics such as:
* Linked open data: what is it?
*The role of the Uniform Resource Identifier (URI),
* Ontologies: How LOD organises knowledge
* Metadata and the semantic web,
*The Resource Description Framework (RDF) and data formats,
*The principles of 5 star and LOUD linked data,
*Linked data in the wild - case studies and use cases, from looted art databases to medieval prosopographies.

Practically, students will be taught the basics of working with linked open data including:
* How to harvest, tidy and analyse linked open data retrieved from various sources,
* How to build linked open data queries with SPARQL and Wikidata, and how to use the resulting datasets,
*How to use linked open data to answer questions used in the digital humanities.

Students will also devise their own research project, using Linked Open Data to undertake a scholarly investigation. Seminar time will be allocated to work on the project, as well as for one-on-one discussion and feedback related to the project.

Assessment and permitted materials

As this is a research seminar, with a practial component, a high level of interest and the ability to undertake self-motivated research will be important to succesfuly complete the course.
Assessment will consist of project work, written assignments and in-class participation. Students shold be sure to plan enough time for this.
However, the effective workload is difficult to estimate and employee and family-friendly solutions can be found in consultation with the course instructors.

Minimum requirements and assessment criteria

No prior knowledge of working with LOD is assumed. However, students will need to have access to a computer for the practical component of the course.

The course is evaluated according to a points system. You can achieve 100 points in the course. The research project is rated with up to 70 points. Oral and written participation are each rated with up to 30 points. The minimum for the positive completion of the courses is 51 points. Conversion of points to grades: 0-50 = insufficient, 51-60 = sufficient, 61-70 = satisfactory, 71-80 = good, 81-100 = very good

Examination topics

Examination material is the final research project.

Reading list

Readings will be added to Moodle in time for the start of the course, and assigned on a weekly basis.

Association in the course directory

DH/DS/BI / DHP-S

Last modified: Th 04.07.2024 00:13