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Facet Analysis×Domain Analysis×
ÁreaLibrary Information ScienceLibrary Information Science
FamíliaProcess / pipelineProcess / pipeline
Ano de origem19671995
Autor originalS. R. Ranganathan; Brian C. VickeryBirger Hjørland & Hanne Albrechtsen
TipoAnalytico-synthetic pipeline for decomposing a subject into facetsSocio-cognitive pipeline for studying knowledge domains
Fonte seminalRanganathan, S. R. (1967). Prolegomena to Library Classification (3rd ed.). Bombay: Asia Publishing House. ISBN: 9788170004707Hjørland, B., & Albrechtsen, H. (1995). Toward a new horizon in information science: Domain-analysis. Journal of the American Society for Information Science, 46(6), 400-425. DOI ↗
Outros nomesAnalytico-Synthetic Analysis, Categorial Analysis, Facet Decomposition, PMEST Facet AnalysisKnowledge-Domain Analysis, Hjørland Domain Analysis, Discourse-Community Analysis, Subject-Domain Analysis
Relacionados33
ResumoFacet analysis is the analytico-synthetic technique, pioneered by S. R. Ranganathan and systematized for special schemes by Brian Vickery, for decomposing a subject into its fundamental conceptual components. Instead of trying to enumerate every compound topic in advance, the analyst breaks a subject down into elementary concepts (isolates), sorts those isolates into a small number of fundamental categories — in Ranganathan's canonical scheme Personality, Matter, Energy, Space, and Time (PMEST) — and arranges each resulting facet as an ordered array. A defined citation order then prescribes how facets recombine, so any compound subject can be synthesized from its parts. Facet analysis is the conceptual engine beneath faceted classification, thesaurus structure, and much modern metadata, taxonomy, and interface design.Domain analysis is the socio-cognitive research programme proposed by Birger Hjørland and Hanne Albrechtsen in 1995, which holds that the most fruitful object of study for information science is the knowledge domain understood as a discourse or thought community within society's division of labour. Rather than grounding information organization in the isolated mental processes of an individual user, domain analysis grounds it in the shared literature, paradigms, terminology, and social practices of a subject field. Hjørland and Albrechtsen set out eleven complementary approaches — from producing literature guides and special classifications to bibliometric, historical, and epistemological study — and Clare Beghtol's work on literary warrant and consensus showed how a domain's own published discourse supplies the empirical basis for its categories. The method turns the design of classifications, thesauri, and retrieval systems into an evidence-based study of how a community actually thinks and writes.
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ScholarGateComparar métodos: Facet Analysis · Domain Analysis. Recuperado em 2026-06-24 de https://scholargate.app/pt/compare