Template-Type: ReDIF-Paper 1.0
Author-Name: van Eck, N.J.P.
Author-Name-Last: van Eck
Author-Name-First: Nees Jan
Author-Name: Waltman, L.
Author-Name-Last: Waltman
Author-Name-First: Ludo
Author-Name: Noyons, E.C.M.
Author-Name-Last: Noyons
Author-Name-First: Ed
Author-Name: Buter, R.K.
Author-Name-Last: Buter
Author-Name-First: Reindert
Title: Automatic Term Identification for Bibliometric Mapping
Abstract: A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.
Creation-Date: 2008-12-03
File-URL: https://repub.eur.nl/pub/14056/ERS-2008-081-LIS.pdf
File-Format: application/pdf
Series: RePEc:ems:eureri
Number: ERS-2008-081-LIS
Classification-JEL: C89, M, M11, R4
Keywords: automatic term identification, bibliometric mapping, operations research, probabilistic latent semantic analysis, term map
Handle: RePEc:ems:eureri:14056