Name
Abstract | ||
|---|---|---|
One of the important procedures during the operation of an Institutional Repository System (IRS) is to categorize and index the submitted digital objects. Based on current practice, human catalogers are frequently involved in this process to make accurate categorization. Funded by NLM development grant, we are developing an UMLS-based indexing tool. The tool will be integrated or plug-in into most IRS, and categorize and assign MeSH headings and keywords to text-based digital objects automatically. |
Year | Venue | Keywords |
|---|---|---|
2006 | AMIA | natural language processing,unified medical language system |
Field | DocType | ISSN |
MeSH Headings,Categorization,Informatics,World Wide Web,Information retrieval,Computer science,Search engine indexing,Unified Medical Language System | Conference | 1942-597X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongming Zhang | 1 | 10 | 3.74 |
| Nancy K Roderer | 2 | 0 | 0.34 |
| Guang Huang | 3 | 0 | 0.34 |
| Xin Zhao | 4 | 0 | 0.34 |