Name
Title | ||
|---|---|---|
An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival. |
Abstract | ||
|---|---|---|
Using an ontology-based data integration approach not only standardizes the definitions of data variables through a common, controlled vocabulary, but also makes the semantic relationships among variables from different sources explicit and clear to all users of the same datasets. Such an approach resolves the ambiguity in variable selection, extraction and integration processes and thus improve reproducibility of the IDA. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12911-018-0636-4 | BMC Med. Inf. & Decision Making |
Keywords | Field | DocType |
Cancer survival,Integrative data analysis,Ontology,Semantic data integration,Semantic web | Data integration,Data source,Ontology,Data availability,Knowledge management,Semantic data integration,Semantic Web,Health informatics,Medicine,Cancer | Journal |
Volume | Issue | ISSN |
18 | S-2 | 1472-6947 |
Citations | PageRank | References |
2 | 0.42 | 17 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hansi Zhang | 1 | 7 | 4.34 |
| Yi Guo | 2 | 12 | 10.16 |
| Qian Li | 3 | 2 | 0.42 |
| Thomas J. George | 4 | 5 | 2.55 |
| Elizabeth Shenkman | 5 | 4 | 3.87 |
| François Modave | 6 | 2 | 0.42 |
| Jiang Bian | 7 | 150 | 43.09 |