Functionalities for automatic metadata generation applications: a survey of metadata experts' opinions. (24th January 2006)

• Record Type: Journal Article
• Authors: Greenberg, Jane; Spurgin, Kristina; Crystal, Abe
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 1:Number 1(2006)
• Page Start: 3
• Page End: 20
• Publication Date: 2006-01-24
• Subjects: automatic metadata generation -- metadata applications -- Dublin core -- metadata experts -- AMeGA project -- metadata functionalities -- technical metadata -- intellectual discretion -- human evaluation -- human production; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

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).