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Topic Map Generation Using Text Mining

Böhm, Karsten and Heyer, Gerhard and Quasthoff, Uwe and Wolff, Christian (2002) Topic Map Generation Using Text Mining. Journal of Universal Computer Science: J.UCS 8 (6), pp. 623-633.

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Other URL: http://dx.doi.org/10.3217/jucs-008-06-0623


Abstract

Starting from text corpus analysis with linguistic and statistical analysis algorithms, an infrastructure for text mining is described which uses collocation analysis as a central tool. This text mining method may be applied to different domains as well as languages. Some examples taken form large reference databases motivate the applicability to knowledge management using declarative standards ...

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Item Type:Article
Date:28 June 2002
Institutions:Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik
Identification Number:
ValueType
10.3217/jucs-008-06-0623DOI
Classification:
NotationType
H.3.1,CCS
H.3.3.CCS
H.3.5,CCS
H.5.3,CCS
I.2.7,CCS
I.7CCS
Keywords:corpora; knowledge management; semantic relations; text mining; topic maps
Subjects:600 Technology > 620 Engineering & allied operations
400 Language > 400 Language, Linguistics
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:No
Owner: Prof. Dr. Christian Wolff
Deposited On:24 Mar 2009 13:28
Last Modified:13 Mar 2014 10:38
Item ID:6838
Owner Only: item control page

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