Journal article
Metadata Extraction and Harvesting: A Comparison of Two Automatic Metadata Generation Applications
Journal of Internet cataloging, v 6(4)
24 Sep 2004
Abstract
This research explores the capabilities of two Dublin Core automatic metadata generation applications, Klarity and DC-dot. The top level Web page for each resource, from a sample of 29 resources obtained from National Institute of Environmental Health Sciences (NIEHS), was submitted to both generators. Results indicate that extraction processing algorithms can contribute to useful automatic metadata generation. Results also indicate that harvesting metadata from META tags created by humans can have a positive impact on automatic metadata generation. The study identifies several ways in which automatic metadata generation applications can be improved and highlights several important areas of research. The conclusion is that integrating extraction of harvesting methods will be the best approach to creating optimal metadata, and more research is needed to identify when to apply which method.
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72 citations in Scopus
Details
- Title
- Metadata Extraction and Harvesting
- Creators
- Jane Greenberg - School of Information and Library Science , University of North Carolina at Chapel Hill
- Publication Details
- Journal of Internet cataloging, v 6(4)
- Publisher
- Taylor & Francis Group
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Other Identifier
- 991014878230804721