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Linked Data in Libraries’ Technical Services Workflows

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Metadata and Semantic Research (MTSR 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 755))

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Abstract

Linked Data for Production (LD4P) is a collaborative project between six institutions (Columbia, Cornell, Harvard, the Library of Congress, Princeton, and Stanford) to begin the transition of the production workflows of their libraries Technical Services Departments to ones rooted in Linked Open Data (LOD). Each institution is focused on a different domain or facet of the problem to move us together as a group more quickly. As a whole, the six institutions will focus on four main areas of development. First will be the establishment of the ability to create linked open data communally. Second, in collaboration with external standards organizations such as the Program for Cooperative Cataloging and linked data projects such as BIBFLOW, will be the establishment of common procedures and protocols for the creation of library metadata as linked data. Third will be the expansion of the BIBFRAME ontology to better encompass subject domains such as art and music. And last will be the transition of a selection of current library workflows to ones based in linked open data. The projects will make use of a collection of preliminary tools and adopt them for production work in their individual environments and, through feedback, assist in the development of the tools.

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References

  1. MARC Homepage: https://www.loc.gov/marc/. Accessed 01 June 2017

  2. BIBFRAME Homepage: https://www.loc.gov/bibframe/. Accessed 01 June 2017

  3. RDF Homepage: https://www.w3.org/RDF/. Accessed 01 June 2017

  4. LD4P Homepage: https://wiki.duraspace.org/display/LD4P

  5. Vitro Homepage: http://vitro.mannlib.cornell.edu. Accessed 02 June 2017

  6. RDA Toolkit Homepage, http://www.rdatoolkit.org. Accessed 02 June 2017

  7. Program for Cooperative Cataloging Homepage. https://www.loc.gov/aba/pcc. Accessed 02 June 2017

  8. AACR2 Homepage. http://www.aacr2.org. Accessed 02 June 2017

  9. Openrefine Homepage. http://www.openrefine.org. Accessed 02 June 2017

  10. Visual Resources Association VRA Core Homepage. http://www.vraweb.org/author/vra-core/. Accessed 02 June 2017

  11. CIDOC-CRM Homepage. http://www.cidoc-crm.org. Accessed 01 June 2017

  12. Web Annotation Data Model Homepage. https://www.w3.org/TR/annotation-model/. Accessed 16 Aug 2017

  13. Music Library Association Homepage. https://www.musiclibraryassoc.org. Accessed 02 June 2017

  14. ARSC Homepage. http://www.arsc-audio.org/index.php. Accessed 02 June 2017

  15. CEDAR Homepage. https://med.stanford.edu/cedar.html. Accessed 02 June 2017

  16. Kafka Homepage. https://kafka.apache.org/. Accessed 16 Aug 2017

  17. Spark Homepage. https://spark.apache.org/. Accessed 16 Aug 2017

  18. ALIADA Homepage. http://www.atcult.it/en/products/aliada/. Accessed 16 Aug 2017

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Correspondence to Philip E. Schreur .

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Schreur, P.E., Lorimer, N. (2017). Linked Data in Libraries’ Technical Services Workflows. In: Garoufallou, E., Virkus, S., Siatri, R., Koutsomiha, D. (eds) Metadata and Semantic Research. MTSR 2017. Communications in Computer and Information Science, vol 755. Springer, Cham. https://doi.org/10.1007/978-3-319-70863-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-70863-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70862-1

  • Online ISBN: 978-3-319-70863-8

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