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Journals ACM SIGBIO Newsletter Volume 8 Issue 1

I N F O R M A T I O N KETRIEVA.L A N D T H E S T R U C C T U ~ OF T H E B]OI~gDE]CAL LEX]CON Okra Scnyk M a r ~ l e n S~ Blois S e ~ i o n o n M e d i a a ] l u f o r m a ~ o n Scie~ace U n . i T e ~ i v y o f C a l i f o r n i a a~ San Franci~c~ The need for automated bibliographic and text retrieval s y s t e m s is widely recognized. The National L i b r a r y of Medicine has been a pioneer in this field, w i t h M]EDLINE as its largest and most f r e q u e n t l y used on-line database. The Mt~DLINI~ database is built around a key'word system, the Medical Subject Headings (MESH)classification structure, where biomedical terms are nodes in a tree of "is-a ~ relationships (e.g., juvenile rheumatoid arthritis is-a rheumatoid arthritis is-a rheumatism, etc.). Documents are added to the database b

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Information retrieval and the structure of the biomedical lexicon

Senyk, Oksana; Blois, S Marsden
ACM SIGBIO Newsletter , Volume 8 (1)
Association for Computing Machinery – Mar 1, 1986

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