Semantic enrichment for enhancing LAM data and supporting digital humanities. Review article
DOI:
https://doi.org/10.3145/epi.2019.ene.03Palabras clave:
Semantic enrichment, Libraries, archives, and museums, LAMs, Digital humanities, DH, Smart data, Metadata, Structured data, Semi-structured data, Unstructured data, Knowledge discovery, Entity-centric modeling and information access,Resumen
With the rapid development of the digital humanities (DH) field, demands for historical and cultural heritage data have generated deep interest 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.
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