| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 517827 | Journal of the American Medical Informatics Association | 2008 | 10 Pages |
Abstract
semCDI provides a formulation for the creation of queries on the semantic representation of caBIG. This constitutes the foundation to build a semantic data integration system for more efficient and effective querying and exploratory searching of cancer-related data.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
E. Patrick MS, Yves R. MS, Ray M. Bradley, Mansur R. PhD,