Computer processing through distance-based quality score method in geospatial-temporal semantic graphs
A computer-implemented method of improving processing of overhead image data by a processor using a distance-based quality score in a geospatial-temporal semantic graph. An allowable range for each attribute in the subgraph search template is defined. For each match in a comparison, attribute values of each match element are compared against the preferred range and the allowable range to compute a corresponding distance of each match attribute from the subgraph search template. A corresponding overall match quality score is determined for each match from the subgraph search template, wherein determining the corresponding overall match qualities is performed using a corresponding required quality score and a corresponding optional quality score. All corresponding overall match quality scores are sorted into an ordered list and then displayed.
- Research Organization:
- National Technology & Engineering Solutions od Sandia, LLC (Albuquerque, NM)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- Assignee:
- National Technology & Engineering Solutions od Sandia, LLC (Albuquerque, NM)
- Patent Number(s):
- 10,769,158
- Application Number:
- 15/980,578
- OSTI ID:
- 1735239
- Country of Publication:
- United States
- Language:
- English
Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs
|
journal | September 2015 |
A computational framework for ontologically storing and analyzing very large overhead image sets
|
conference | November 2014 |
| Preliminary Results on Uncertainty Quantification for Pattern Analytics | report | August 2015 |
| Geospatial-Temporal Semantic Graphs for Automated Wide-Area Search | report | July 2017 |
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