Machine learning for production of Dewey Decimal
Tools
BRYGFJELD, Svein Arne, WETJEN, Freddy and WALSØE, André (2018) Machine learning for production of Dewey Decimal. Paper presented at: IFLA WLIC 2018 – Kuala Lumpur, Malaysia – Transform Libraries, Transform Societies in Session 115 - Subject Analysis and Access.
Bookmark or cite this item: https://library.ifla.org/id/eprint/2216
Language:
English (Original)
Available under licence Creative Commons Attribution.
Bookmark or cite this item: https://library.ifla.org/id/eprint/2216/1/115-brygfjeld-en.pdf
Abstract
Machine learning for production of Dewey Decimal
Based on Open Source software and existing metadata and content, the National Library of Norway has carried out a series of experiments to study automatic classification of articles based on the Dewey Decimal Classification system. Various platforms and models for machine learning has been used. The results indicate machine learning is a suitable environment for semi-automated or fully automated production of DDC. Furthermore, they show that training of machine learning platforms may be enforced by using artificial documents.Item Type: | Conference or Workshop Item (Paper) | ||||||||||||
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Conference details: | IFLA WLIC 2018 – Kuala Lumpur, Malaysia – Transform Libraries, Transform SocietiesSession 115 - Transforming Libraries via Automatic Indexing - Subject Analysis and Access |
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Divisions: | Division 3 Library Services > Subject Analysis and Access | ||||||||||||
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Uncontrolled Keywords: | Machine Learning, Dewey Decimal Classification, Automatic classification | ||||||||||||
Date Deposited: | 19 Jul 2018 14:10 | ||||||||||||
Last Modified: | 19 Jul 2018 14:10 | ||||||||||||
URI: | https://library.ifla.org/id/eprint/2216 |
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