Name
Abstract | ||
|---|---|---|
Scientific progress is increasingly dependent upon the acquisition, processing, and analysis of large volumes of data. The validity of results and the safety of applications rely upon an adequate understanding of the real-world semantics of this data: its intended interpretation, and the context in which it is acquired and processed. This presents a challenge: interpretations vary, context is infinite, and either may change over time. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.scico.2020.102426 | Science of Computer Programming |
Keywords | Field | DocType |
Semantic interoperability,Refinement,Formal methods | Metadata,Programming language,Computer science,Denotational semantics,Automation,Semantic interoperability,Medical research,Scientific progress,Semantics,Scalability | Journal |
Volume | Issue | ISSN |
192 | C | 0167-6423 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jim Davies | 1 | 673 | 80.95 |
| James Welch | 2 | 0 | 0.34 |
| David Milward | 3 | 196 | 27.51 |
| Steve Harris | 4 | 0 | 0.34 |