Collection metadata solutions for digital library applications
Journal of the American Society for Information Science - Speical issue on integrating mutiple overlapping metadata standards
Towards a cultural heritage digital library
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
A Metadata Application Profile for Collection-Level Description of Digital Folklore Resources
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Evaluation of digital libraries
International Journal on Digital Libraries
Metadata in the context of the European Library Project
DCMI '02 Proceedings of the 2002 international conference on Dublin core and metadata applications: Metadata for e-communities: supporting diversity and convergence
Using Dublin Core for DISCOVER: a New Zealand visual art and music resource for schools
DCMI '02 Proceedings of the 2002 international conference on Dublin core and metadata applications: Metadata for e-communities: supporting diversity and convergence
On the effective manipulation of digital objects: a prototype-based instantiation approach
ECDL'05 Proceedings of the 9th European conference on Research and Advanced Technology for Digital Libraries
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Digital folklore collections are valuable sources for studying the cultural and oral tradition of a country. The main difficulty in managing such collections is material heterogeneity (handwritten texts, photographs, 3D objects, sound recordings etc.) that imposes different digitization, description and maintenance practices. A multi-layer metadata model for the description of a digital folklore collection is presented. The proposed meta-data policy considers a collection as a hierarchy of entities and combines different metadata schemas for the management of each entity. The metadata model integrates elements from different metadata schemas ensuring efficient information recovery from all structural levels. Furthermore, interoperability between the used metadata schemas is discussed and a Topic Maps model is presented as an approach for developing mappings.