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Towards a Norwegian general thesaurus?
Unni Knutsen, Humanities and Social Sciences LibraryMari Lundevall, Science Library
Subject indexing and classification
Report from working group (2010):• Lack of coordination across (and within)
faculties: – Uncontrolled index terms, controlled index terms,
two thesauri: Humord (humanities and social sciences) and MESH
– 7 different classification schemes (including DDC and NLM Classification)
• Resource constraints
Recommendations
• Use established subject indexing systems• Extend Humord to include most of the
subject areas in the library– In addition: MESH
• Do away with in-house classification schemes, use DDC and NLM Classification
More about Humord
1. A thesaurus (humanities and social sciences)
– 26 000 concepts
2. In addition the name of a joint indexing activity within the framework of the shared catalogue – BIBSYS– Cooperation and reuse of indexing data– Consistent use of indexing terms based on
common indexing rules
National Library of Norway
• Report from working group:– Various in-house subject indexing systems– Lack of coordination – Lack of standardized subject indexing systems
• Tested data from various sources. Conclusion: Use of Humord gave the best result
So we joined forces…
• The University of Oslo Library received funds for 2014 to:1. Participate in a study with the National Library to
explore the feasibility of developing a more general, national thesaurus based on Humord and the controlled vocabulary for natural sciences and mathematics
2. Develop methods of mapping from Humord to WebDewey
Realfagstermer
• Controlled vocabulary for natural sciences and mathematics
• 14 000 concepts– Synonym control– Related terms– English (10%), some Latin– Subject strings
Mapping attempts
• Target: the on-going Norwegian DDC-translation
• 500-group, 600-640• Computer assisted direct matching: Mapping
suggestions based on string matching from our terms to DDC captions
• Co-occurrence mapping: Mapping suggestions based on co-existing DDC and subject terms in catalogue records
Term in source vocabulary
Term in target vocabulary
μmapper Example