Linked Life Data

10384521

Source:http://linkedlifedata.com/resource/pubmed/id/10384521

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
1999-7-30
pubmed:abstractText
Automatic extraction of knowledge from large corpus of texts is an essential step toward linguistic knowledge acquisition in the medical domain. The current situation shows a lack of computer-readable large medical lexicons, with a partial exception for the English language. Moreover, multilingual lexicons with versatility for multiple languages applications are far from reach as long as only manual extraction is considered. Computer-assisted linguistic knowledge acquisition is a must. A multilingual lexicon differs from a monolingual one by the necessity to bridge the words in different languages. A kind of interlingua has to be built under the form of concepts to which the specific entries are attached. In the present approach, the authors have developed an intelligent rule-based tool in order to focus on a multilingual source of medical knowledge, like the International Classification of Disease (ICD) which contains a vocabulary of some 20,000 words, translated in numerous languages.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
52 Pt 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
581-5
pubmed:dateRevised
2008-7-10
pubmed:meshHeading
pubmed:year
1998
pubmed:articleTitle
Automatic extraction of linguistic knowledge from an international classification.
pubmed:affiliation
Division d'Informatique Médicale, University Hospital of Geneva, Switzerland. Robert.Baud@dim.hcuge.ch
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't