NDLI: Bringing your collection into the linked data cloud: how to use Google Refine to get more out of your metadata

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Bringing your collection into the linked data cloud: how to use Google Refine to get more out of your metadata

Content Provider	Semantic Scholar
Author	Hooland, Seth Van Wilde, Max De Verborgh, Ruben Walle, Rik Van De Hercher, Johannes
Copyright Year	2011
Abstract	The early-to-mid 2000s economic downturn in the US and Europe forced cultural heritage institutions to adopt a more pragmatic stance towards metadata creation and to deliver short-term results towards grant providers. It is precisely in this context that the concept of Linked and Open Data (LOD) has gained momentum. In this paper, we want to focus on reconciliation, the process in which we map domain specific vocabulary to another (often more commonly used) vocabulary that is part of the Semantic Web in order to annex the metadata to the Linked Data Cloud. We believe that the integration of heterogeneous collections can be managed by using subject vocabulary for cross linking between collections, since major classifications and thesauri (e.g. LCSH, DDC, RAMEAU, etc.) have been made available following Linked Data Principles. Re-using these established terms for indexing cultural heritage resources represents a big potential of Linked Data for libraries, archives and museums (LAM), but the application of LOD publishing still requires expert knowledge of Semantic Web technologies. Therefore, this paper aims to examine the feasibility of using subject vocabularies as linking hub to the Semantic Web in advance of such effort. Namely, we
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://plato.fea.ugent.be/firw/files/P111.238.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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