کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
515532 867038 2013 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Facet analysis: The logical approach to knowledge organization
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Facet analysis: The logical approach to knowledge organization
چکیده انگلیسی

The facet-analytic paradigm is probably the most distinct approach to knowledge organization within Library and Information Science, and in many ways it has dominated what has be termed “modern classification theory”. It was mainly developed by S.R. Ranganathan and the British Classification Research Group, but it is mostly based on principles of logical division developed more than two millennia ago. Colon Classification (CC) and Bliss 2 (BC2) are among the most important systems developed on this theoretical basis, but it has also influenced the development of other systems, such as the Dewey Decimal Classification (DDC) and is also applied in many websites. It still has a strong position in the field and it is the most explicit and “pure” theoretical approach to knowledge organization (KO) (but it is not by implication necessarily also the most important one). The strength of this approach is its logical principles and the way it provides structures in knowledge organization systems (KOS). The main weaknesses are (1) its lack of empirical basis and (2) its speculative ordering of knowledge without basis in the development or influence of theories and socio-historical studies. It seems to be based on the problematic assumption that relations between concepts are a priori and not established by the development of models, theories and laws.


► The article presents the principles, reception and criticism of facet analysis (FA).
► Epistemologically FA lacks an empirical and pragmatic basis.
► FA provides a speculative ordering of knowledge.
► FA is based on the problematic assumption that relations between concepts are a priori.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Processing & Management - Volume 49, Issue 2, March 2013, Pages 545–557
نویسندگان
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