Name
Abstract | ||
|---|---|---|
The process of generating the LinkedDrugs dataset demonstrates the applicability of the methodological guidelines and the supporting tools in transforming drug product data from various, independent and distributed sources, into a comprehensive Linked Drug Data dataset. The presented user-centric and analytical usage scenarios over the dataset show the advantages of having a de-siloed, consolidated and comprehensive dataspace of drug data available via the existing infrastructure of the Web. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s13326-016-0111-z | J. Biomedical Semantics |
Keywords | Field | DocType |
Data consolidation,Drug products,Drugs,Healthcare,Linked data,Methodology,Open data,Tools | Data science,Data mining,Open data,Computer science,Linked data,Product data,Data model | Journal |
Volume | Issue | ISSN |
8 | 1 | 2041-1480 |
Citations | PageRank | References |
3 | 0.38 | 19 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Milos Jovanovik | 1 | 11 | 5.16 |
| Dimitar Trajanov | 2 | 51 | 15.57 |