Class Dispersion between the Library of Congress Classification and the Dewey Decimal Classification.
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| Title: | Class Dispersion between the Library of Congress Classification and the Dewey Decimal Classification. |
|---|---|
| Authors: | O'Neill, Edward T.1, Dillon, Martin1, Vizine-Goetz, Diane1 |
| Source: | Journal of the American Society for Information Science. May1987, Vol. 38 Issue 3, p197-205. 9p. |
| Subjects: | Library of Congress classification, Dewey decimal classification, Library science, Databases, Classification of books, Information science |
| Abstract: | Two measures are examined that characterize the dispersion of a classification system when mapped to a second classification. One, a distance measure, captures the physical spread of a class when represented in the second system; the second, from rank-frequency analysis, characterizes the scatter of tokens over a set of types. The measures are tested by applying them to the library science portions of the Library of Congress Classification and the Dewey Decimal Classification using a database drawn from MARC records. Class mappings are presented that exemplify four extreme points of the two measures considered together: mappings where both measures score high, mappings where both score low, and mappings where one measure is high and the other is low. The conclusion is that the measures characterize two different properties of dispersion. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the American Society for Information Science is the property of Wiley-Blackwell 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: 16906765 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Class Dispersion between the Library of Congress Classification and the Dewey Decimal Classification. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22O'Neill%2C+Edward+T%2E%22">O'Neill, Edward T.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Dillon%2C+Martin%22">Dillon, Martin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Vizine-Goetz%2C+Diane%22">Vizine-Goetz, Diane</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science%22">Journal of the American Society for Information Science</searchLink>. May1987, Vol. 38 Issue 3, p197-205. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Library+of+Congress+classification%22">Library of Congress classification</searchLink><br /><searchLink fieldCode="DE" term="%22Dewey+decimal+classification%22">Dewey decimal classification</searchLink><br /><searchLink fieldCode="DE" term="%22Library+science%22">Library science</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Classification+of+books%22">Classification of books</searchLink><br /><searchLink fieldCode="DE" term="%22Information+science%22">Information science</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Two measures are examined that characterize the dispersion of a classification system when mapped to a second classification. One, a distance measure, captures the physical spread of a class when represented in the second system; the second, from rank-frequency analysis, characterizes the scatter of tokens over a set of types. The measures are tested by applying them to the library science portions of the Library of Congress Classification and the Dewey Decimal Classification using a database drawn from MARC records. Class mappings are presented that exemplify four extreme points of the two measures considered together: mappings where both measures score high, mappings where both score low, and mappings where one measure is high and the other is low. The conclusion is that the measures characterize two different properties of dispersion. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the American Society for Information Science is the property of Wiley-Blackwell 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: BibEntity: Identifiers: – Type: doi Value: 10.1002/(SICI)1097-4571(198705)38:3<197::AID-ASI8>3.0.CO;2-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 197 Subjects: – SubjectFull: Library of Congress classification Type: general – SubjectFull: Dewey decimal classification Type: general – SubjectFull: Library science Type: general – SubjectFull: Databases Type: general – SubjectFull: Classification of books Type: general – SubjectFull: Information science Type: general Titles: – TitleFull: Class Dispersion between the Library of Congress Classification and the Dewey Decimal Classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: O'Neill, Edward T. – PersonEntity: Name: NameFull: Dillon, Martin – PersonEntity: Name: NameFull: Vizine-Goetz, Diane IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May1987 Type: published Y: 1987 Identifiers: – Type: issn-print Value: 00028231 Numbering: – Type: volume Value: 38 – Type: issue Value: 3 Titles: – TitleFull: Journal of the American Society for Information Science Type: main |
| ResultId | 1 |
