%0 Journal Article %1 hahn_semi-automated_2021 %A Hahn, Jim %D 2021 %J Cataloging & Classification Quarterly %K formalerschliessung maschinelles_lernen %N 8 %P 853--867 %R 10.1080/01639374.2021.2014011 %T Semi-automated methods for BIBFRAME work entity description %U https://doi.org/10.1080/01639374.2021.2014011 %V 59 %X This paper reports an investigation of machine learning methods for the semi-automated creation of a BIBFRAME Work entity description within the RDF linked data editor Sinopia (https://sinopia.io). The automated subject indexing software Annif was configured with the Library of Congress Subject Headings (LCSH) vocabulary from the Linked Data Service at https://id.loc.gov/. The training corpus was comprised of 9.3 million titles and LCSH linked data references from the IvyPlus POD project (https://pod.stanford.edu/) and from Share-VDE (https://wiki.share-vde.org). Semi-automated processes were explored to support and extend, not replace, professional expertise.

@article{hahn_semi-automated_2021, abstract = {This paper reports an investigation of machine learning methods for the semi-automated creation of a BIBFRAME Work entity description within the RDF linked data editor Sinopia (https://sinopia.io). The automated subject indexing software Annif was configured with the Library of Congress Subject Headings (LCSH) vocabulary from the Linked Data Service at https://id.loc.gov/. The training corpus was comprised of 9.3 million titles and LCSH linked data references from the IvyPlus POD project (https://pod.stanford.edu/) and from Share-VDE (https://wiki.share-vde.org). Semi-automated processes were explored to support and extend, not replace, professional expertise.}, added-at = {2022-02-18T16:38:17.000+0100}, author = {Hahn, Jim}, biburl = {https://www.bibsonomy.org/bibtex/23deca8e0a86754f38ecbd6ae330c029f/lepsky}, doi = {10.1080/01639374.2021.2014011}, interhash = {d821cb1562f92f07991571c4740b765f}, intrahash = {3deca8e0a86754f38ecbd6ae330c029f}, issn = {0163-9374}, journal = {Cataloging \& Classification Quarterly}, keywords = {formalerschliessung maschinelles_lernen}, month = nov, note = {Publisher: Routledge\_eprint: https://doi.org/10.1080/01639374.2021.2014011}, number = 8, pages = {853--867}, timestamp = {2022-02-18T16:41:52.000+0100}, title = {Semi-automated methods for {BIBFRAME} work entity description}, url = {https://doi.org/10.1080/01639374.2021.2014011}, urldate = {2022-02-15}, volume = 59, year = 2021 }