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Natural history in Europeana - Accessing scientific collection objects via LOD
Holetschek, J.; Baumann, G.; Koch, G.; Berendsohn, W.G. (2016). Natural history in Europeana - Accessing scientific collection objects via LOD, in: Garoufallou, E. et al. (Ed.) Metadata and semantics research.10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. pp. 223-234. https://hdl.handle.net/10.1007/978-3-319-49157-8_20
In: Garoufallou, E. et al. (Ed.) (2016). Metadata and semantics research.10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Springer International Publishing Ag: [s.l.]. ISBN 978-3-319-49156-1. xx, 378 pp. https://hdl.handle.net/10.1007/978-3-319-49157-8, more

Available in  Authors 
Document type: Conference paper

Author keywords
    ABCD, BioCASe, XML, GBIF, DarwinCore, IPT, B-HIT, Natural history collections, Specimens, Open data, OpenUp!, Europeana, EDM, Linked Open Data, LOD, Semantic web, RDF, Aggregator, Primary biodiversity data

Authors  Top 
  • Holetschek, J.
  • Baumann, G.
  • Koch, G.
  • Berendsohn, W.G.

Abstract
    Millions of specimens housed in collections of natural history institutions document our planet’s biodiversity over centuries and represent both an indispensable knowledge base for today’s biological research as well as a cultural heritage. Digitization efforts of the past years have produced a substantial amount of digital assets: high-resolution images, videos, sound files, 3D imagery and 3D models. The OpenUp! Natural History Aggregator draws together these virtual representations of specimens from a multitude of institutions and feeds them into Europeana, the cross-domain portal for Europe’s digitized cultural heritage. Enriching their metadata with data drawn from additional resources such as common names, taxonomic literature and geographic terms helps to increase discoverability und usability. The assignment of stable uniform resource locators and the application of standard vocabularies, existing ontologies and frameworks like RDF allow effective linking of web resources from different knowledge domains, thus creating linked open data.

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