Subject retrieval from full-text databases in the humanities.
This paper examines the problems involved in subject retrieval from full-text databases of secondary materials in the humanities. Ten such databases were studied and their search functionality evaluated, focussing on factors such as Boolean operators, document surrogates, limiting by subject area, p...
| Published in: | Portal: Libraries & the Academy Vol. 7; no. 2; pp. 227 - 242 |
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| Main Author: | |
| Format: | research Journal Article |
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Johns Hopkins University Press
Apr2007
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106014804&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106014804 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15312542 F9N jtl: Portal: Libraries & the Academy issn: 15312542 maglogo: N pubinfo: dt: Apr2007 vid: 7 iid: 2 pid: 226 pub: Johns Hopkins University Press place: Baltimore, Maryland artinfo: ui: 106014804 2009586469 10.1353/pla.2007.0018 106014804 ppf: 227 ppct: 15 formats: tig: atl: Subject retrieval from full-text databases in the humanities. aug: au: East JW affil: Liaison Librarian, Social Sciences and Humanities Library, University of Queensland, Brisbane, Australia; john.east@uq.edu.au sug: subj: Full-Text Databases Information Retrieval Methods Liberal Arts Subject Headings Books Digitizers Web Search Engines Serial Publications Vocabulary, Controlled Human ab: This paper examines the problems involved in subject retrieval from full-text databases of secondary materials in the humanities. Ten such databases were studied and their search functionality evaluated, focussing on factors such as Boolean operators, document surrogates, limiting by subject area, proximity operators, phrase searching, wildcards, weighting of search terms, limiting by type of document, controlled vocabulary indexing and ranking, and display of search results. The author suggests ways in which full-text searching might be improved, whether by enhancement of database records, by introduction of enhanced search functionality, or by the education of searchers in more effective search techniques. The conclusion is that current digitization projects are not producing databases that meet the needs of scholars. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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