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Automated Classification Using Linked Open Data. A Case Study on Faceted Classification and Wikidata.

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Title: Automated Classification Using Linked Open Data. A Case Study on Faceted Classification and Wikidata.
Authors: Bianchini, Carlo1,2, Bargioni, Stefano2
Source: Cataloging & Classification Quarterly. 2021, Vol. 59 Issue 8, p835-852. 18p.
Subject Terms: *Automation, *Authors, Linked data (Semantic Web), Colon classification, Cooperation
Abstract: The Wikidata gadget, CCLitBox, for the automated classification of literary authors and works by a faceted classification and using Linked Open Data (LOD) is presented. The tool reproduces the classification algorithm of class O Literature of the Colon Classification and uses data freely available in Wikidata to create Colon Classification class numbers. CCLitBox is totally free and enables any user to classify literary authors and their works; it is easily accessible to everybody; it uses LOD from Wikidata but missing data for classification can be freely added if necessary; it is readymade for any cooperative and networked project. [ABSTRACT FROM AUTHOR]
Copyright of Cataloging & Classification Quarterly is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 155083453
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Automated Classification Using Linked Open Data. A Case Study on Faceted Classification and Wikidata.
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  Data: <searchLink fieldCode="AR" term="%22Bianchini%2C+Carlo%22">Bianchini, Carlo</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bargioni%2C+Stefano%22">Bargioni, Stefano</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Cataloging+%26+Classification+Quarterly%22">Cataloging & Classification Quarterly</searchLink>. 2021, Vol. 59 Issue 8, p835-852. 18p.
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  Data: *<searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br />*<searchLink fieldCode="DE" term="%22Authors%22">Authors</searchLink><br /><searchLink fieldCode="DE" term="%22Linked+data+%28Semantic+Web%29%22">Linked data (Semantic Web)</searchLink><br /><searchLink fieldCode="DE" term="%22Colon+classification%22">Colon classification</searchLink><br /><searchLink fieldCode="DE" term="%22Cooperation%22">Cooperation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Wikidata gadget, CCLitBox, for the automated classification of literary authors and works by a faceted classification and using Linked Open Data (LOD) is presented. The tool reproduces the classification algorithm of class O Literature of the Colon Classification and uses data freely available in Wikidata to create Colon Classification class numbers. CCLitBox is totally free and enables any user to classify literary authors and their works; it is easily accessible to everybody; it uses LOD from Wikidata but missing data for classification can be freely added if necessary; it is readymade for any cooperative and networked project. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Cataloging & Classification Quarterly is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/01639374.2021.1977447
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 835
    Subjects:
      – SubjectFull: Automation
        Type: general
      – SubjectFull: Authors
        Type: general
      – SubjectFull: Linked data (Semantic Web)
        Type: general
      – SubjectFull: Colon classification
        Type: general
      – SubjectFull: Cooperation
        Type: general
    Titles:
      – TitleFull: Automated Classification Using Linked Open Data. A Case Study on Faceted Classification and Wikidata.
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            NameFull: Bianchini, Carlo
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            NameFull: Bargioni, Stefano
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              Text: 2021
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              Y: 2021
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              Value: 59
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              Value: 8
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            – TitleFull: Cataloging & Classification Quarterly
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