Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches
With more and more digital collections of various information resources becoming available, also increasing is the challenge of assigning subject index terms and classes from quality knowledge organization systems. While the ultimate purpose is to understand the value of automatically produced Dewey...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2020-04-01
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| Series: | Journal of Data and Information Science |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/jdis-2020-0003 |
| _version_ | 1818755310012071936 |
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| author | Golub Koraljka Hagelbäck Johan Ardö Anders |
| author_facet | Golub Koraljka Hagelbäck Johan Ardö Anders |
| author_sort | Golub Koraljka |
| collection | DOAJ |
| description | With more and more digital collections of various information resources becoming available, also increasing is the challenge of assigning subject index terms and classes from quality knowledge organization systems. While the ultimate purpose is to understand the value of automatically produced Dewey Decimal Classification (DDC) classes for Swedish digital collections, the paper aims to evaluate the performance of six machine learning algorithms as well as a string-matching algorithm based on characteristics of DDC. |
| first_indexed | 2024-12-18T05:37:06Z |
| format | Article |
| id | doaj.art-cd00d5900c8749519784d13d2de0fbe9 |
| institution | Directory Open Access Journal |
| issn | 2543-683X |
| language | English |
| last_indexed | 2024-12-18T05:37:06Z |
| publishDate | 2020-04-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Journal of Data and Information Science |
| spelling | doaj.art-cd00d5900c8749519784d13d2de0fbe92022-12-21T21:19:17ZengSciendoJournal of Data and Information Science2543-683X2020-04-0151183810.2478/jdis-2020-0003Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of ApproachesGolub Koraljka0Hagelbäck Johan1Ardö Anders2Department of Cultural Sciences, Faculty of Arts and Humanities, Linnaeus University, Växjö, SwedenDepartment of Computer Science and Media Technology, Faculty of Technology, Linnaeus University, Kalmar, SwedenDepartment of Electrical and Information Technology, Lund University, Lund, SwedenWith more and more digital collections of various information resources becoming available, also increasing is the challenge of assigning subject index terms and classes from quality knowledge organization systems. While the ultimate purpose is to understand the value of automatically produced Dewey Decimal Classification (DDC) classes for Swedish digital collections, the paper aims to evaluate the performance of six machine learning algorithms as well as a string-matching algorithm based on characteristics of DDC.https://doi.org/10.2478/jdis-2020-0003librisdewey decimal classificationautomatic classificationmachine learningsupport vector machinemultinomial naïve bayessimple linear networkstandard neural network1d convolutional neural networkrecurrent neural networkword embeddingsstring matching |
| spellingShingle | Golub Koraljka Hagelbäck Johan Ardö Anders Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches Journal of Data and Information Science libris dewey decimal classification automatic classification machine learning support vector machine multinomial naïve bayes simple linear network standard neural network 1d convolutional neural network recurrent neural network word embeddings string matching |
| title | Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches |
| title_full | Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches |
| title_fullStr | Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches |
| title_full_unstemmed | Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches |
| title_short | Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches |
| title_sort | automatic classification of swedish metadata using dewey decimal classification a comparison of approaches |
| topic | libris dewey decimal classification automatic classification machine learning support vector machine multinomial naïve bayes simple linear network standard neural network 1d convolutional neural network recurrent neural network word embeddings string matching |
| url | https://doi.org/10.2478/jdis-2020-0003 |
| work_keys_str_mv | AT golubkoraljka automaticclassificationofswedishmetadatausingdeweydecimalclassificationacomparisonofapproaches AT hagelbackjohan automaticclassificationofswedishmetadatausingdeweydecimalclassificationacomparisonofapproaches AT ardoanders automaticclassificationofswedishmetadatausingdeweydecimalclassificationacomparisonofapproaches |