With the rapid development of the digital humanities (DH) field, demands for historical and cultural heritage data have generated deep interest in the data provided by libraries, archives, and museums (LAMs). In order to enhance LAM data's quality and discoverability while enabling a self-sustaining ecosystem, "semantic enrichment" becomes a strategy increasingly used by LAMs during recent years. This article introduces a number of semantic enrichment methods and efforts that can be applied to LAM data at various levels, aiming to support deeper and wider exploration and use of LAM data in DH research. The real cases, research projects, experiments, and pilot studies shared in this article demonstrate endless potential for LAM data, whether they are structured, semi-structured, or unstructured, regardless of what types of original artifacts carry the data. Following their roadmaps would encourage more effective initiatives and strengthen this effort to maximize LAM data's discoverability, use-and reuse-ability, and their value in the mainstream of DH and Semantic Web.
Interoperability refers to the ability of two or more systems or components to exchange information and to use the information that has been exchanged. This article presents the major viewpoints of interoperability, with the focus on semantic interoperability. It discusses the approaches to achieving interoperability as demonstrated in standards and best practices, projects, and products in the broad domain of knowledge organization.
This project's goal is to develop a catalog for a digitized collection of historical fashion objects held at the Kent State University Museum and to analyze and evaluate how well existing metadata formats can be applied to a fashion collection. The project considered the known and anticipated uses of the collection and the identification of the metadata elements that would be needed to support these uses. From a set of 90 museum accession records, 42 fashion objects were selected for cataloging. Three metadata treatments were created for these 42 items using (a) the Anglo‐American Cataloguing Rules (AACR) in use with the United States MAchine‐Readable Cataloging (USMARC) formats, (b) the Dublin Core set of elements designed for minimal level cataloging, and (c) the Visual Resources Association (VRA) Core Categories for Visual Resources created for developing local databases and cataloging records for visual resources collections. Comparison and analysis of the formats resulted in the adoption of a modified VRA metadata format to catalog the entire digitized historical fashion collection.
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