Evaluating the Impact of the Long-S upon 18th-century Encyclopedia Britannica Automatic Subject Metadata Generation Results.
This research compares automatic subject metadata generation when the pre-1800s Long-S character is corrected to a standard < s >. The test environment includes entries from the third edition of the Encyclopedia Britannica, and the HIVE automatic subject indexing tool. A comparative study of metadat...
| Publicado en: | Information Technology & Libraries Vol. 39; no. 3; pp. 1 - 14 |
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| Autor principal: | |
| Formato: | research tables/charts Journal Article |
| Publicado: |
American Library Association
2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=146072340&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146072340 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07309295 ITL jtl: Information Technology & Libraries issn: 07309295 maglogo: N pubinfo: dt: 2020 vid: 39 iid: 3 pid: 55 pub: American Library Association place: Chicago, Illinois artinfo: ui: 146072340 146072340 146072340 10.6017/ital.v39i3.12235 146072340 ppf: 1 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Evaluating the Impact of the Long-S upon 18th-century Encyclopedia Britannica Automatic Subject Metadata Generation Results. aug: au: Grabus, Sam affil: Information Science PhD Candidate at Drexel University's College of Computing and Informatics sug: subj: Reference Books Reference Tools Metadata Abstracting and Indexing Nomenclature Human Access to Information Manuscripts Electronic Publications Convenience Sample Algorithms Descriptive Statistics Random Sample Vocabulary ab: This research compares automatic subject metadata generation when the pre-1800s Long-S character is corrected to a standard < s >. The test environment includes entries from the third edition of the Encyclopedia Britannica, and the HIVE automatic subject indexing tool. A comparative study of metadata generated before and after correction of the Long-S demonstrated an average of 26.51 percent potentially relevant terms per entry omitted from results if the Long-S is not corrected. Results confirm that correcting the Long-S increases the availability of terms that can be used for creating quality metadata records. A relationship is also demonstrated between shorter entries and an increase in omitted terms when the Long-S is not corrected. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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