방법 비교

	Knowledge Organization System Design	Controlled Vocabulary Indexing
분야	Library Information Science	Library Information Science
계열	Process / pipeline	Process / pipeline
기원 연도	2000	2005
창시자	Elaine Svenonius; ANSI/NISO Z39.19	ANSI/NISO Z39.19; Elaine Svenonius
유형	Design pipeline for specifying a knowledge organization system	Indexing pipeline using a controlled vocabulary
원전	Svenonius, E. (2000). The Intellectual Foundation of Information Organization. Cambridge, MA: MIT Press. ISBN: 9780262194334	NISO. (2005). ANSI/NISO Z39.19-2005 (R2010): Guidelines for the Construction, Format, and Management of Monolingual Controlled Vocabularies. Baltimore: NISO.
별칭	KOS Design, Knowledge Organization System Engineering, Information Organization System Design, Bibliographic Language Design	Subject Indexing, Controlled Indexing, Assigned Indexing, Vocabulary-Controlled Subject Indexing
관련	3	3
요약	Knowledge organization system (KOS) design is the principled specification of the artefacts — classification schemes, thesauri, subject heading lists, taxonomies, name and subject authorities, and ontologies — that organize recorded information for retrieval. Elaine Svenonius's The Intellectual Foundation of Information Organization recast this work as the design of bibliographic languages, each with a vocabulary, a semantics, and a syntax, all justified by the user objectives an information system exists to serve: to find, identify, select, and obtain. KOS design begins from those objectives and the entities a domain contains, then specifies controlled vocabulary, fixes the mapping between terms and concepts, defines the syntax for combining terms, and evaluates the result against the objectives and against design principles. Standards such as ANSI/NISO Z39.19 supply the construction rules for the vocabulary layer.	Controlled vocabulary indexing is the process of representing what a document is about by assigning preferred terms drawn from an established controlled vocabulary or thesaurus, rather than from the document's own free-text words. ANSI/NISO Z39.19 codifies the practice: the indexer first performs conceptual analysis to determine a document's aboutness, then translates each concept into the vocabulary's preferred term, choosing how many concepts to capture (exhaustivity) and how finely to express each (specificity). Elaine Svenonius's account of subject languages explains why this controlled translation matters — it eliminates the synonymy and homonymy of natural language so that one concept is always indexed under one term. Done consistently, controlled vocabulary indexing gives a collection reliable, predictable subject access that free-text search alone cannot guarantee.