Assessment of classification and indexing of an agricultural journal based on metadata in AGRIS and CAB Abstracts databases

Author: Bartol, Tomaz

Source: International Journal of Metadata, Semantics and Ontologies, Volume 4, Numbers 1-2, 30 May 2009 , pp. 4-12(9)

Publisher: Inderscience Publishers

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Abstract:

Agricultural thesauri and classification schemes are being increasingly upgraded as ontologies, prompting end-user awareness of the concept of structured taxonomies and metadata. Related agricultural databases, such as Agris and CAB Abstracts, exhibit differences in subject headings, indexing and classification what we illustrate on the example of an animal and plant production journal Acta Agriculturae Slovenica. Variations are attributable to differences among descriptors, categories, indexing rules, and information professionals. Similar search queries or syntax retrieves different documents. Certain level of replication in different databases, however, enhances retrieval recall and, in turn, boosts international visibility of scientific papers or documents.

Keywords: COMPUTING AND MATHEMATICS JOURNALS; Computing Science, Applications and Software

Document Type: Research article

DOI: http://dx.doi.org/10.1504/IJMSO.2009.026249

Affiliations: 1: Biotechnical Faculty, Agronomy Department, University of Ljubljana, Jamnikarjeva 101, SI 1000 Ljubljana, Slovenia

Publication date: 2009-05-30

More about this publication?
  • International Journal of Metadata, Semantics and Ontologies aims at publishing research advances and discussions about meta-data in a broad sense, and about their associated semantics and ontological structures, from a multi-disciplinary perspective, and with an emphasis on domain-specific ontologies and organisational, human interaction and social issues regarding metadata annotation, use and assessment. It also intends covering Semantic Web research, as a concrete metadata-intensive technological framework in which shared and standardised semantics are a critical issue.
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