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A Bibliometric-Based Semi-automatic Approach to Identification of Candidate Thesaurus Terms: Parsing and Filtering of Noun Phrases from Citation Contexts

TitleA Bibliometric-Based Semi-automatic Approach to Identification of Candidate Thesaurus Terms: Parsing and Filtering of Noun Phrases from Citation Contexts
Publication TypeBook Chapter
Year of Publication2005
AuthorsSchneider, JW, Borlund, P
EditorCrestani, F, Ruthven, I
Book TitleContext: Nature, Impact, and Role
Series TitleLecture Notes in Computer Science
Volume3507
Pagination105-112
PublisherSpringer
CityBerlin / Heidelberg
ISBN978-3-540-26178-0
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.

URLhttp://www.iva.dk/binaries/schneider_borlund%20(2005).pdf
DOI10.1007/11495222_18