A bibliometric-based semi-automatic approach to identification of candidate thesaurus terms: Parsing and filtering of noun phrases from citation contexts
JW Schneider, P Borlund - … Conference on Conceptions of Library and …, 2005 - Springer
International Conference on Conceptions of Library and Information Sciences, 2005•Springer
The present study investigates the ability of a bibliometric based semi-automatic method to
select candidate thesaurus terms from citation contexts. The method consists of document co-
citation analysis, citation context analysis, and noun phrase parsing. The investigation is
carried out within the specialty area of periodontology. The results clearly demonstrate that
the method is able to select important candidate thesaurus terms within the chosen specialty
area.
select candidate thesaurus terms from citation contexts. The method consists of document co-
citation analysis, citation context analysis, and noun phrase parsing. The investigation is
carried out within the specialty area of periodontology. The results clearly demonstrate that
the method is able to select important candidate thesaurus terms within the chosen specialty
area.
Abstract
The present study investigates the ability of a bibliometric based semi-automatic method to select candidate thesaurus terms from citation contexts. The method consists of document co-citation analysis, citation context analysis, and noun phrase parsing. The investigation is carried out within the specialty area of periodontology. The results clearly demonstrate that the method is able to select important candidate thesaurus terms within the chosen specialty area.
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