Knowledge Organization, Data and Algorithms: The New Era of Visual Representations.
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| Title: | Knowledge Organization, Data and Algorithms: The New Era of Visual Representations. |
|---|---|
| Authors: | Clavier, Viviane1 viviane.clavier@univ-grenoble-alpes.fr |
| Source: | Knowledge Organization. 2019, Vol. 46 Issue 8, p615-621. 7p. |
| Subjects: | Knowledge management, Classical languages, Data modeling, Electronic data processing, Computational linguistics |
| Abstract: | This article shows how visual representations have progressively taken the lead over classical language-based models of knowledge organization (KO). The paper adopts a theoretical and historical perspective and focuses on the consequences of the changes in the volume of data generated by data production on the KO models. Until now, data visualization tools have been used mainly by researchers with expertise in textual data processing or in computational linguistics. But now, these tools are accessible to a greater number of users. Thus, there are new issues at stake for KO, other professions and institutions for gathering data that contribute to defining new standards and KO representations. [ABSTRACT FROM AUTHOR] |
| Copyright of Knowledge Organization is the property of IMR Press 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: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 141281793 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Knowledge Organization, Data and Algorithms: The New Era of Visual Representations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Clavier%2C+Viviane%22">Clavier, Viviane</searchLink><relatesTo>1</relatesTo><i> viviane.clavier@univ-grenoble-alpes.fr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Knowledge+Organization%22">Knowledge Organization</searchLink>. 2019, Vol. 46 Issue 8, p615-621. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Knowledge+management%22">Knowledge management</searchLink><br /><searchLink fieldCode="DE" term="%22Classical+languages%22">Classical languages</searchLink><br /><searchLink fieldCode="DE" term="%22Data+modeling%22">Data modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+linguistics%22">Computational linguistics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article shows how visual representations have progressively taken the lead over classical language-based models of knowledge organization (KO). The paper adopts a theoretical and historical perspective and focuses on the consequences of the changes in the volume of data generated by data production on the KO models. Until now, data visualization tools have been used mainly by researchers with expertise in textual data processing or in computational linguistics. But now, these tools are accessible to a greater number of users. Thus, there are new issues at stake for KO, other professions and institutions for gathering data that contribute to defining new standards and KO representations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Knowledge Organization is the property of IMR Press 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=141281793 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5771/0943-7444-2019-8-615 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 615 Subjects: – SubjectFull: Knowledge management Type: general – SubjectFull: Classical languages Type: general – SubjectFull: Data modeling Type: general – SubjectFull: Electronic data processing Type: general – SubjectFull: Computational linguistics Type: general Titles: – TitleFull: Knowledge Organization, Data and Algorithms: The New Era of Visual Representations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Clavier, Viviane IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 09437444 Numbering: – Type: volume Value: 46 – Type: issue Value: 8 Titles: – TitleFull: Knowledge Organization Type: main |
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