Name
Title | ||
|---|---|---|
Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs |
Abstract | ||
|---|---|---|
Geospatial semantic graphs provide a robust foundation for representing and analyzing remote sensor data. In particular, they support a variety of pattern search operations that capture the spatial and temporal relationships among the objects and events in the data. However, in the presence of large data corpora, even a carefully constructed search query may return a large number of unintended matches. This work considers the problem of calculating a quality score for each match to the query, given that the underlying data are uncertain. We present a preliminary evaluation of three methods for determining both match quality scores and associated uncertainty bounds, illustrated in the context of an example based on overhead imagery data. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1002/sam.11294 | STATISTICAL ANALYSIS AND DATA MINING |
Keywords | Field | DocType |
uncertainty,confidence intervals,statistical models,graphical models,distance metric,image interpretation,graph search | Geospatial analysis,Web search query,Data mining,Quality Score,Computer science,Metric (mathematics),Statistical model,Artificial intelligence,Graphical model,Pattern matching,Machine learning,Pattern search | Journal |
Volume | Issue | ISSN |
8.0 | SP5-6 | 1932-1864 |
Citations | PageRank | References |
2 | 0.48 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David J. Stracuzzi | 1 | 91 | 25.68 |
| Randy C. Brost | 2 | 21 | 7.44 |
| Cynthia A. Phillips | 3 | 1184 | 123.02 |
| David G. Robinson | 4 | 2 | 0.48 |
| Alyson G. Wilson | 5 | 66 | 9.61 |
| Diane Myung-kyung Woodbridge | 6 | 3 | 1.51 |