Topic Map Generation Using Text Mining
Дата
Авторы
Böhm,Karsten
Heyer,Gerhard
Quasthoff,Uwe
Wolff,Christian
Journal Title
Journal ISSN
Volume Title
Издатель
Journal of Universal Computer Science
Аннотация
Описание
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 of information structuring and description. The ISO/IEC Topic Map standard is introduced as a candidate for rich metadata description of information resources and it is shown how text mining can be used for automatic topic map generation.
Ключевые слова
topic maps , text mining , corpora , semantic relations , knowledge management