A bibliometric-based semi-automatic approach to identification of candidate thesaurus terms: parsing and filtering of noun phrases from citation contexts

Authors:
Jesper W. Schneider;Pia Borlund
Affiliations:
Department of Information Studies, Royal School of Library and Information Science, Aalborg Branch, Aalborg, Denmark;Department of Information Studies, Royal School of Library and Information Science, Aalborg Branch, Aalborg, Denmark
Venue:
CoLIS'05 Proceedings of the 5th international conference on Context: conceptions of Library and Information Sciences
Year:
2005

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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.