KNOWLEDGE REPRESENTATION FOR GROUNDED THEORY CONSTRUCTION IN QUALITATIVE DATA-ANALYSIS

Citation
Hk. Yuen et Tj. Richards, KNOWLEDGE REPRESENTATION FOR GROUNDED THEORY CONSTRUCTION IN QUALITATIVE DATA-ANALYSIS, The Journal of mathematical sociology, 19(4), 1994, pp. 279-298
Citations number
51
Categorie Soggetti
Sociology,"Social Sciences, Mathematical Methods","Mathematical, Methods, Social Sciences
ISSN journal
0022250X
Volume
19
Issue
4
Year of publication
1994
Pages
279 - 298
Database
ISI
SICI code
0022-250X(1994)19:4<279:KRFGTC>2.0.ZU;2-K
Abstract
The major achievement of most current qualitative data analysis softwa re systems in social sciences has been the efficient code-and-retrieve abilities. Although such abilities greatly strengthen and assist the handling of qualitative data, they do not address the crucial tasks of theory construction as traditionally understood in qualitative resear ch. Application of knowledge-based systems has been recognised as an i mportant approach to theory construction in qualitative data analysis. This approach heavily depends on a suitable way of knowledge represen tation. This paper describes a knowledge representation method for rep resenting grounded theory construction, in which a hybrid approach of fuzzy set theory and semantic networks is applied.