Metadata propagation between cultural items and collections
| has title::CLUSTER ANALYSIS APPLIED TO EUROPEANA DATA | |
|---|---|
status: finished
| |
| Master: | project within::Multimedia |
| Student name: | student name::Esra Atescelik |
| Dates | |
| Start | start date:=2013/11/11 |
| End | end date:=2014/07/18 |
| Supervision | |
| Supervisor: | Victor de Boer |
| Second supervisor: | Antoine Isaac |
| Second reader: | has second reader::Lora Aroyo |
| Company: | has company::VU and Europeana |
| Thesis: | has thesis::Media:Thesis.pdf |
| Poster: | has poster::Media:Posternaam.pdf |
Signature supervisor
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Abstract
Objects from museums, libraries and archives are most often gathered in collections of various sizes and motivations. A collection can group be made of items created by one person, about a specific subject, of a certain type or time period, etc. Large digital libraries such as Europeana and The European Library are realising the importance of appropriate metadata for collections, as a crucial piece of context for the users who access digitized items via there services. However, for the cultural institutions that own these collections, it is not always easy to provide with a description that matches the specific needs of discovery and search.
The aim of this project is to determine whether rules can be found, in order to propagate metadata from the item level to the collection level. Automatic techniques for data summarization or clustering of objects can be investigated. Another direction for the student's work is the creation of tools with easy-to-understand metadata propagation rules, which can be activated by the operators of Europeana when integrating a collection in their database.
