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A Metadata model for description of digital folklore collections

Thesis, was published by Irene Lourdi at 2010-01-01

Topic Maps are applied to facilitate crosswalks between metadata schemas and ontologies are proposed to work between various collection-level descriptions.

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It is widely known that folklore collections are valuable sources to study the tradition of specific groups of people and places, since they contain various kinds of material. Nowadays, many digitization projects have taken place to preserve and expose the cultural features of a country in the web. An important part of a digitization project is the development and design of the right metadata schema to satisfy user’s information needs. Many metadata standards have been developed to preserve and describe cultural heritage collections, providing to users rich information but without being compatible with each other. This has caused problems both in users and systems, since the differences of the holding institutions and of the metadata schemas in syntax and semantics prevent the retrieval of information from heterogeneous resources. The doctoral dissertation thesis approaches in theoretical and practical way the policy for designing a metadata model to document digital folklore collections. More specifically, the requirements that a metadata model needs to cover for compound digital folklore collections are analyzed and the various metadata standards and the most common methods for metadata interoperability are presented. Further, a multi-layer metadata model is analyzed, that integrates elements from various metadata models ensuring efficient and meaningful information retrieval from collection objects. Another interesting point being discussed is the representation of the dynamic character and the multiple facets of information that the cultural heritage objects hold. Time, place, language, user profile and level of detail are some of the perspectives under which a folklore collection is examined. At last, considering the variety of metadata schemas and the increasing demand for access to highly distributed, heterogeneous and dynamic collections, emphasis is given to matters of metadata interoperability and integration mostly at semantic level. As a first solution to this problem Topic Maps are applied to facilitate crosswalks between metadata schemas and secondly ontologies are proposed to work as mediators between various collection-level descriptions. The results of this thesis include: (a) a well-defined metadata model for describing folklore material, (b) representation of semantic and administrative context-dependent information of collections and objects and © the interoperability of the proposed metadata model with international metadata schemas.



Irene Lourdi

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Irene is author of A multi-layer metadata.. and A Metadata model for.. .


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Kal Ahmed
Topic Maps Lab auf der Cebit 2011

Graduate from the Topic Maps Lab