Int. J. of Metadata, Semantics and Ontologies   »   2006 Vol.1, No.1

 

 

Title: Functionalities for automatic metadata generation applications: a survey of metadata experts' opinions

 

Author: Jane Greenberg, Kristina Spurgin, Abe Crystal

 

Addresses:
School of Information and Library Science, University of North Carolina at Chapel Hill, 100 Manning Hall, CB #3360, Chapel Hill NC 27599-3360, USA.
School of Information and Library Science, University of North Carolina at Chapel Hill, 100 Manning Hall, CB #3360, Chapel Hill NC 27599-3360, USA.
School of Information and Library Science, University of North Carolina at Chapel Hill, 100 Manning Hall, CB #3360, Chapel Hill NC 27599-3360, USA

 

Abstract: This paper reports on the automatic metadata generation applications (AMeGA) project's metadata expert survey. Automatic metadata generation research is reviewed and the study's methods, key findings and conclusions are presented. Participants anticipate greater accuracy with automatic techniques for technical metadata (e.g., ID, language, and format metadata) compared to metadata requiring intellectual discretion (e.g., subject and description metadata). Support for implementing automatic techniques paralleled anticipated accuracy results. Metadata experts are in favour of using automatic techniques, although they are generally not in favour of eliminating human evaluation or production for the more intellectually demanding metadata. Results are incorporated into Version 1.0 of the Recommended Functionalities for automatic metadata generation applications (Appendix A).

 

Keywords: automatic metadata generation; metadata applications; Dublin core; metadata experts; AMeGA project; metadata functionalities; technical metadata; intellectual discretion; human evaluation; human production.

 

DOI: 10.1504/IJMSO.2006.008766

 

Int. J. of Metadata, Semantics and Ontologies, 2006 Vol.1, No.1, pp.3 - 20

 

Available online: 23 Jan 2006

 

 

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