Institutions (IFLA) . The FRBR model can be deployed as a logical framework for proceeding content-based analysis and developing metadata format. This paper presents a case study of the National Palace Museum (NPM) in Taipei to examine the feasibility of the FRBR model. Based on the examination of case study at the NPM, the FRBR model i s proven to be a useful and fundamental framework for content-based analysis and metadata implementation. We find that the FRBR model is helpful in identifying proper metadata elements organization and their distribution over the FRBR entities. Basically, this model is more suitable for media-centric and association-rich contents. However, in order to refine the FRBR model as a common framework for metadata, it would also require supportive mechanisms for management responsibility relationships for the workflow consideration and functionality elements for preservation purpose.
IntroductionCatalogue has been used traditionally as a means for the description of collections in library and museum communities. As the world moves into new era of digital library, metadata analysis, with its inherent dynamic and diverse features, becomes a new technique to deal with networked resources which are often in lack of structure. In
Emerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services. Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.
Metadata are fundamental in establishing a digital library and museum while domain communities describe, interpret and manage different digital objects. Although many metadata formats and sets have been developed, it is difficult to choose an appropriate format and conversion is problematical, especially for the Chinese materials. This paper is a progress report from the Metadata Taskforce Group designing Chinese metadata for the digital library and museum project (DLMP) at Academia Sinica in Taiwan. The group’s top priority is to construct goals, principles and procedures while designing the metadata format for Chinese contents. Not only does the Metadata Taskforce Group present the analysis of content attributes of Formosan Plain indigenous people, but also several marked achievements and findings are suggested, such as the metadata record structure and criteria of selecting and evaluating the current metadata formats.
By using the metadata for the fonds of “Chen Cheng-po’s Paintings and Documents” (CCP) in the database of the Archives of the Institute of Taiwan History (IHT, Academia Sinica, Taiwan), we develop and enhance a semantic data model for converting the data into a linked data project, focusing on data modeling, data reconciliation, and data enrichment. The research questions are: 1) How can we keep the original rich and contextual information of the archival materials during a LOD task?; 2) How can we integrate heterogeneous datasets about the same real-world resources from libraries, archives, and museums, while keeping the different views distinct?; and, (3) How can we provide added value for semantic metadata of archives in terms of instance-based and schema-based types of enrichment? The project adopts the Europeana Data Model (EDM) as the main model and extends the properties to fit the contextual characteristics of archival materials. Various methods are explored to preserve the hierarchical structure and context of the archival materials, to enrich semantic data, and to connect data from different sources and institutions. We propose four approaches to enriching data semantics by: 1) directly using external vocabularies; 2) reconciling local links to other linked data sources; 3) introducing contextual classes for the appropriate contextual entities; and, 4) utilizing named entity extraction. The results can contribute to the best practice for developing linked data for art-related archival materials.
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