Retrieving known items with LibX.

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Bibliographic Details
Title: Retrieving known items with LibX.
Authors: Bailey A (AUTHOR), Back G (AUTHOR)
Source: Serials Librarian. Feb2008, Vol. 53 Issue 4, p125-140. 16p.
Subject Terms: *Library automation, *Library resources, Open source software, Computers in libraries, OpenURL (Uniform resource locator), Databases
Abstract: LibX (http://libx.org/) is an open source Firefox extension that provides direct access to library resources in multiple ways: through a toolbar, a context menu, and via cues that LibX places into web sites a user visits. A LibX edition integrates support for the resources to which a particular user community has access, including the library OPAC, databases, and their OpenURL link resolver. As one of its features, LibX supports the fast (one-click) retrieval of known items, such as research articles. This frequent task is automated by exploiting Google's Scholar service as a hidden backend that is used for searches. In this paper, we evaluate the effectiveness of LibX in retrieving known items that were listed as references in a sample of articles in four widely read journals. We conclude that LibX's matching algorithm can lead the user to an accessible copy of an item on average in 81% of cases with a negligible number of irrelevant items retrieved. As a result, LibX can dramatically reduce the time spent on known item searches. [ABSTRACT FROM AUTHOR]
Copyright of Serials Librarian 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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DbLabel: Education Research Complete
An: 105755736
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PubType: Academic Journal
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  Data: *<searchLink fieldCode="DE" term="%22Library+automation%22">Library automation</searchLink><br />*<searchLink fieldCode="DE" term="%22Library+resources%22">Library resources</searchLink><br /><searchLink fieldCode="DE" term="%22Open+source+software%22">Open source software</searchLink><br /><searchLink fieldCode="DE" term="%22Computers+in+libraries%22">Computers in libraries</searchLink><br /><searchLink fieldCode="DE" term="%22OpenURL+%28Uniform+resource+locator%29%22">OpenURL (Uniform resource locator)</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink>
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  Data: LibX (http://libx.org/) is an open source Firefox extension that provides direct access to library resources in multiple ways: through a toolbar, a context menu, and via cues that LibX places into web sites a user visits. A LibX edition integrates support for the resources to which a particular user community has access, including the library OPAC, databases, and their OpenURL link resolver. As one of its features, LibX supports the fast (one-click) retrieval of known items, such as research articles. This frequent task is automated by exploiting Google's Scholar service as a hidden backend that is used for searches. In this paper, we evaluate the effectiveness of LibX in retrieving known items that were listed as references in a sample of articles in four widely read journals. We conclude that LibX's matching algorithm can lead the user to an accessible copy of an item on average in 81% of cases with a negligible number of irrelevant items retrieved. As a result, LibX can dramatically reduce the time spent on known item searches. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Serials Librarian 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: 10.1300/j123v53n04_09
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      – Code: eng
        Text: English
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        PageCount: 16
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    Subjects:
      – SubjectFull: Library automation
        Type: general
      – SubjectFull: Library resources
        Type: general
      – SubjectFull: Open source software
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      – SubjectFull: Computers in libraries
        Type: general
      – SubjectFull: OpenURL (Uniform resource locator)
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      – SubjectFull: Databases
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      – TitleFull: Retrieving known items with LibX.
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              Text: Feb2008
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              Y: 2008
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