Name
Abstract | ||
|---|---|---|
This study examines an enabling condition for natural languages access to medical knowledge resources (Medline, CISMeF) indexed with controlled vocabularies (e.g., the MeSH): is the vocabulary of user queries comparable with that of the index terms? The two vocabularies were compared in their original form, then under incrementally normalized forms, using character-based normalizations then linguistic normalizations. Only 16.7% of the user vocabulary, in its original form, is in the MeSH. Progressive normalizations increase this proportion to 65.5%. Besides, if the frequencies of occurrence of words are taken into account, 89.3% of user word occurrences can be matched to MeSH words. This shows the interest of taking into account further matching methods between queries and index terms than those presented here. |
Year | Venue | Keywords |
|---|---|---|
2003 | MIE | language,world wide web,france,natural language processing,controlled vocabulary |
Field | DocType | Volume |
Normalization (statistics),Information retrieval,Computer science,Controlled vocabulary,Medical knowledge,Natural language,Artificial intelligence,Natural language processing,Vocabulary | Conference | 95 |
ISSN | Citations | PageRank |
0926-9630 | 2 | 0.47 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Natalia Grabar | 1 | 124 | 34.83 |
| Pierre Zweigenbaum | 2 | 773 | 85.43 |
| Lina Fatima Soualmia | 3 | 98 | 20.27 |
| Stéfan Darmoni | 4 | 35 | 4.10 |
| Stimdsi | 5 | 15 | 1.50 |