assignFAST: An Autosuggest based tool for FAST Subject Assignment

Authors

  • Rick Bennett OCLC
  • Edward T. O'Neill OCLC
  • Kerre Kammerer OCLC

DOI:

https://doi.org/10.6017/ital.v33i1.5378

Abstract

Subject assignment is really a three-phase task. The first phase is intellectual—reviewing the material and determining its topic. The second phase is more mechanical, identifying the correct subject heading(s).  The final phase is retyping or cutting and pasting the heading(s) into the cataloging interface along with any diacritics, and potentially correcting formatting and subfield coding. If authority control is available in the interface, some of these tasks may be automated or partially automated.

A cataloger with a reasonable knowledge of FAST[i],[ii] or even LCSH[iii] can quickly get to the proper heading, but usually needs to confirm the final details—was it plural? Am I thinking of an alternate form? Is it inverted? Etc. This often requires consulting the full authority file interface. assignFAST is a Web service that consolidates the entire second phase of the manual process of subject assignment for FAST subjects into a single step based on autosuggest technology.


[i] Chan, Lois Mai and Edward T. O'Neill.  FAST: Faceted Application of Subject Terminology, Prnciples and Applications Libraries Unlimited, Santa Barbara, 2010.
http://lu.com/showbook.cfm?isbn=9781591587224.

[ii] OCLC Research Activities associated with FAST are summarized at  http://www.oclc.org/research/activities/fast/

[iii] Chan, Lois M. Library of Congress Subject Headings : Principles and Application: Principles and Application. Westport, Conn: Libraries Unlimited, 2005.

Author Biographies

Rick Bennett, OCLC

Rick Bennett (Rick_Bennett@oclc.org) is a Consulting Software Engineer in OCLC Research,

where he works on processing and manipulating bibliographic and authority data. Currently he

is been focusing on developing, maintaining, and displaying authority data for the FAST project.

Rick was an undergraduate at Pennsylvania State University and a graduate student at Georgia

Institute of Technology, where he completed a program in Computer Engineering.

Edward T. O'Neill, OCLC

Edward T. O’Neill (oneill@oclc.org) is a Senior Research Scientist at OCLC Research and

project manager for FAST. Ed did his undergraduate work at Albion College and his

doctorial work at Purdue University in Operations Research. His research interests include

authority control, subject analysis, database quality, collection management, and bibliographic

relationships. He is active in IFLA and has served on IFLA's Section on Classification

and Indexing, the FRBR Review Group, the FRSAR Working Group, the FRBR Working

Group on Aggregates, and the FRBR Working Group on the Expression Entity.

Kerre Kammerer, OCLC

Kerre Kammerer (kammerer@oclc.org) is a Consulting Software Engineer in OCLC Research.

Kerre’s research interests include database quality control and authority data. Her current

research activities involve the creation and maintenance of FAST authority records and the

conversion of LC subject headings to FAST headings in bibliographic records. Kerre holds a BA

in Economics from DePauw University

References

Chan, Lois Mai and Edward T. O'Neill. FAST: Faceted Application of Subject Terminology, Prnciples and Applications Libraries Unlimited, Santa Barbara, 2010.

http://lu.com/showbook.cfm?isbn=9781591587224.

OCLC Research Activities associated with FAST are summarized at http://www.oclc.org/research/activities/fast/

Chan, Lois M. Library of Congress Subject Headings : Principles and Application: Principles and Application. Westport, Conn: Libraries Unlimited, 2005.

“Autocomplete,” last modified on October 1, 2013, http://en.wikipedia.org/wiki/Autocomplete.

Russell-Rose, Tony, “Designing Search: As-You-Type Suggestions”, UX Magazine, Article No. 828, May 16, 2012, http://uxmag.com/articles/designing-search-as-you-type-suggestions.

Ward, David, Hahn, Jim, and Feist, Kirsten , “Autocomplete as a Research Tool: A Study on Providing Search Suggestions”, Information Technology & Libraries, December 2012, Vol. 31 Issue 4.

Jermey, Jon, “Automated indexing: feeding the AutoComplete monster”, Indexer, June 2010, Vol. 28 Issue 2.

Bast, Holger, Mortensen, Christian W., Weber, Ingmar, “Output-sensitive autocompletion search”, Information Retrieval, August 2008, Vol. 11 Issue

Tzoc, Elías, “Re-Using Today's Metadata for Tomorrow's Research: Five Practical Examples for Enhancing Access to Digital Collections,” Journal of Electronic Resources Librarianship, January-March 2011, Vol. 23 Issue 1

Bast, Holger, Weber, Ingmar, “Type Less, Find More: Fast Autocompletion Search with a Succinct Index”, SIGIR Forum, 2006 Proceedings, Vol. 39,

Katz, Demian, LeVan, Ralph and Ziso, Ya'aqov, “Using Authority Data in VuFind”, Code4Lib Journal, June 2011.

O'Neill, Edward T., Rick Bennett, Kerre Kammerer. "Using authorities to improve subject searches" in Maja Žumer, Sandra K. Roe, and Edward T. O’Neill, eds. “Beyond Libraries – Subject Metadata in the Digital Environment and Semantic Web.” Special issue, Cataloging & Classification Quarterly 52, no. 1/2 (in press).

“MARCMaker and MARCBreaker User's Manual,” revised November 2007, http://www.loc.gov/marc/makrbrkr.html .

“jQuery,” accessed October 1, 2013, http://jquery.com/

“OCLC Developers Network – assignFAST,” submitted September 28, 2012, http://oclc.org/developer/services/assignfast

“jQuery autocomplete,” accessed October 1, 2013, http://jqueryui.com/autocomplete/.

“Apache Lucene – Apache Solr,” accessed October 1, 2013, http://lucene.apache.org/solr/.

“Apache Tomcat,” accessed October 30, 2013, http://tomcat.apache.org/.

“SOLR Wiki – Analyzers Tokenizers TokenFilters” last edited October 29, 2013, http://wiki.apache.org/solr/AnalyzersTokenizersTokenFilters.

Hickey, Thomas B, Jenny Toves, and Edward T. O'Neill. "Naco Normalization: A Detailed Examination of the Authority File Comparison Rules", Library Resources and Technical Services, 2006.

“Representational State Transfer”, last modified on October 21, 2013, http://en.wikipedia.org/wiki/Representational_State_Transfer

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Published

2014-03-25

How to Cite

Bennett, R., O’Neill, E. T., & Kammerer, K. (2014). assignFAST: An Autosuggest based tool for FAST Subject Assignment. Information Technology and Libraries, 33(1), 34–43. https://doi.org/10.6017/ital.v33i1.5378

Issue

Section

Communications