Contemporary Methods for Automatic and Human Knowledge Organization in Cultural Heritage Organizations
In recent decades, cultural heritage institutions have had to adapt to the World Wide Web and the Semantic Web by developing new conceptual models, metadata standards, and controlled vocabularies. Some institutions have also leveraged social tagging and automated methods for knowledge organization. This course explores these transformations across the three types of cultural heritage institutions: libraries, archives, and museums. Throughout the course, students will discuss different approaches to knowledge organization in research seminars. Additionally, students will write a scientific article providing an overview of automatic approaches, including how metadata can be used to enhance automatic subject indexing in cultural heritage organizations.
Course information
Number of credits
15 credits
Given by
Department of Cultural Sciences
Open to
National and international PhD-students
Teaching language
English
Location
Distance learning
Next course occasion
1 September, 2025
Study rate, or the equivalent
50%
Deadline for applications
1 August
Registration
The number of participants is limited to 15. Priority is given to PhD students from library and information science.
An application containing the research area and motivation for why you want to take the course should be sent to Koraljka Golub, koraljka.golub@lnu.se
The course is developed in co-operation with Uppsala University as part of the WASP-HS project. More information is available here: https://lnu.se/en/research/research-projects/project-artificial-intelligence-as-a-risk-and-opportunity-for-the-authenticity-of-archives/.
Prerequisites
Admitted to PhD studies
Teaching method
The course is delivered online using the current online teaching platform.