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https://repository.ifla.org/handle/123456789/1955
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DC Field | Value | Language |
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dc.rights.license | CC BY 4.0 | en_US |
dc.contributor.author | Hahn, Jim | - |
dc.coverage.spatial | Location::United States of America | en_US |
dc.date.accessioned | 2022-06-20T19:20:10Z | - |
dc.date.available | 2022-06-20 | - |
dc.date.available | 2022-06-20T19:20:10Z | - |
dc.date.issued | 2022-06-20 | - |
dc.identifier.uri | https://2022.ifla.org/ | - |
dc.identifier.uri | https://repository.ifla.org/handle/123456789/1955 | - |
dc.description.abstract | As catalogers begin to integrate linked data descriptions into large-scale discovery graphs through RDF editors, interventions such as semi-automated subject description (http://lcsh.annif.info) are extending and supporting their professional expertise. A large corpus of 9.3 million (9,304,455) title and subject pairs from the IvyPlus Platform for Open Data (POD), along with SVDE bibliographic data, were used for training a semi-automated subject indexing tool for use in BIBFRAME linked data editors. Thereafter, catalogers evaluated the automated subject outputs for inclusion in their descriptions of BIBFRAME resources and the general usefulness of semi-automated subject suggestions. This paper presents the findings of a mixed-methods inquiry to better understand catalogers’ preferences for incorporating machine learning outputs into their work. | en_US |
dc.language.iso | en | en_US |
dc.publisher | International Federation of Library Associations and Institutions (IFLA) | en_US |
dc.relation.ispartofseries | 87th IFLA World Library and Information Congress (WLIC) / 2022 in Dublin, Ireland; | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject | Subject::Linked data | en_US |
dc.subject | Subject::Big data | en_US |
dc.subject | Subject::Metadata | en_US |
dc.subject | Subject::Ethics | en_US |
dc.title | Cataloger acceptance and use of semiautomated subject recommendations for web scale linked data systems | en_US |
dc.type | Articles | en_US |
dc.type | Events Materials | en_US |
dc.rights.holder | Jim Hahn | en_US |
dc.audience | Audience::Big Data Special Interest Group | en_US |
ifla.oPubId | 0 | en_US |
ifla.Unit | Units::Special Interest Group::Big Data Special Interest Group | en_US |
Appears in Collections: | World Library and Information Congress (WLIC) Materials |
Files in This Item:
File | Size | Format | |
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062-hahn-en.pdf | 417.05 kB | Adobe PDF | View/Open |
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