The U.S. national library of medicine and international medlars cooperation

Corning, Mary E.

doi:10.1016/0020-0271(72)90016-2

Cited by 1 publication

(2 citation statements)

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“…Tables deriving from a Norwegian translation produced by Nasjonalt kunnskapssenter for helsetjenesten in Norway 4 have since been added. Keeping the thesaurus database up-to-date is essential to the integrity of the SveMed+ database.…”

Section: The Meshmentioning

confidence: 99%

“…Karolinska Institutet (KI) in Sweden is one of the largest medical universities in Europe. Being one of the first MEDLARS centres to be established outside the USA [1–4], KI has a long-standing experience in the provision and development of databases. The MEDLARS services were operated by the Medical Information Centre (MIC), subsequently to be integrated with the University Library of Karolinska Institutet (KIB).…”

Section: Introductionmentioning

confidence: 99%

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Multilingual query expansion in the SveMed+ bibliographic database: A case study

Gavel

Andersson

2014

Journal of Information Science

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SveMed+ is a bibliographic database covering Scandinavian medical journals. It is produced by the University Library of Karolinska Institutet in Sweden. The bibliographic references are indexed with terms from the Medical Subject Headings (MeSH) thesaurus. The MeSH has been translated into several languages, including Swedish, making it suitable as the basis for multilingual tools in the medical field. The data structure of SveMed+ closely mimics that of PubMed/MEDLINE. Users of PubMed/MEDLINE and similar databases typically expect retrieval features that are not readily available off-the-shelf. The SveMed+ interface is based on a free text search engine (Solr) and a relational database management system (Microsoft SQL Server) containing the bibliographic database and a multilingual thesaurus database. The thesaurus database contains medical terms in three different languages and information about relationships between the terms. A combined approach involving the Solr free text index, the bibliographic database and the thesaurus database allowed the implementation of functionality such as automatic multilingual query expansion, faceting and hierarchical explode searches. The present paper describes how this was done in practice.

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Section: The Meshmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%