136033 SE Linked data in the Humanities (2022S)

4.00 ECTS (3.00 SWS), SPL 13 - Finno-Ugristik, Nederlandistik, Skandinavistik und Vergl.Literaturw.

Prüfungsimmanente Lehrveranstaltung

GEMISCHT

Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Anmeldung von Mo 07.02.2022 08:00 bis Do 24.02.2022 23:59
Abmeldung bis Do 31.03.2022 23:59

Details

max. 25 Teilnehmer*innen

Sprache: Englisch

Lehrende

Rebecca Josina Kahn

Termine (iCal) - nächster Termin ist mit N markiert

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

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

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.

Mindestanforderungen und Beurteilungsmaßstab

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

Prüfungsstoff

Examination material is the final research project.

Literatur

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

Zuordnung im Vorlesungsverzeichnis

DH/DS/BI / DHP-S

Letzte Änderung: So 20.02.2022 12:48