Name
Title | ||
|---|---|---|
Knowledge Acquisition to Qualify Unified Medical Language System Interconceptual Relationships |
Abstract | ||
|---|---|---|
Adding automatically relations between concepts from a database to a knowledge base such as the Unified Medical Language System can be very useful to increase the consistency of the latter one. But the transfer of qualified relationships is more interesting. The most important interest of these new acquisitions is that the UMLS became more compliant and medically pertinent to be used in different medical applications. This paper describes the possibility to inherit automatically medical inter-conceptual relationships qualifiers from a disease description included into a database and to integrate them into the UMLS knowledge base. The paper focuses on the transmission of knowledge from a French medical database to an English one. |
Year | Venue | Keywords |
|---|---|---|
2000 | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | subject headings,artificial intelligence,unified medical language system |
Field | DocType | Issue |
Disease description,Information retrieval,Computer science,Databases as Topic,Knowledge base,Unified Medical Language System,Knowledge acquisition | Conference | SUPnan |
ISSN | Citations | PageRank |
1067-5027 | 0 | 0.34 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Franck Le Duff | 1 | 21 | 5.02 |
| Anita Burgun | 2 | 506 | 57.91 |
| Mireille Cleret | 3 | 0 | 0.68 |
| Bruno Pouliquen | 4 | 678 | 58.19 |
| V Barac'h | 5 | 0 | 0.68 |
| Pierre Le Beux | 6 | 65 | 20.68 |