Abstract
SRS is a web-based and mobile toolkit for information visualization and collaboration. It includes server-side components in the form of web services that provide analytical functions such as data clustering and temporal analysis. The SRS client is accessed via a web browser and uses asynchronous javascript and XML (AJAX) to interact with and visualize the results of these web services. Users of SRS can query data sources that are connected to the SRS backend, and query results are presented in the form of coordinated visual displays in a web browser that depict temporal, topical, and spatial relationships in the results. SRS also includes an early stage graphical reasoning diagram interface that helps analysts express and test hypotheses.
This software was developed with funding from the Science and Technology Directorate of the U.S. Department of Homeland Security.
- Developers:
-
Pike, William [1] ; May, Richard [1] ; Bruce, Joe [1] ; Riensche, Rick [1] ; Rice, Doug [1] ; Franklin, Lyndsey [1] ; Best, Dan [1] ; Baddeley, Bob [1] ; Younkin, Katarina [1] ; Chatterton, Jack [1]
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Release Date:
- 2019-06-13
- Project Type:
- Closed Source
- Software Type:
- Scientific
- Version:
- 2.x
- Licenses:
-
Other (Commercial or Open-Source): https://availabletechnologies.pnnl.gov
- Sponsoring Org.:
-
US Department of Homeland SecurityUSDOEPrimary Award/Contract Number:AC05-76RL01830
- Code ID:
- 26213
- Site Accession Number:
- Battelle IPID 17126-E
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Country of Origin:
- United States
Citation Formats
Pike, William, May, Richard, Bruce, Joe, Riensche, Rick, Rice, Doug, Franklin, Lyndsey, Best, Dan, Baddeley, Bob, Younkin, Katarina, and Chatterton, Jack.
Scalable Reasoning System (SRS).
Computer Software.
US Department of Homeland Security, USDOE.
13 Jun. 2019.
Web.
doi:10.11578/dc.20240614.67.
Pike, William, May, Richard, Bruce, Joe, Riensche, Rick, Rice, Doug, Franklin, Lyndsey, Best, Dan, Baddeley, Bob, Younkin, Katarina, & Chatterton, Jack.
(2019, June 13).
Scalable Reasoning System (SRS).
[Computer software].
https://doi.org/10.11578/dc.20240614.67.
Pike, William, May, Richard, Bruce, Joe, Riensche, Rick, Rice, Doug, Franklin, Lyndsey, Best, Dan, Baddeley, Bob, Younkin, Katarina, and Chatterton, Jack.
"Scalable Reasoning System (SRS)." Computer software.
June 13, 2019.
https://doi.org/10.11578/dc.20240614.67.
@misc{
doecode_26213,
title = {Scalable Reasoning System (SRS)},
author = {Pike, William and May, Richard and Bruce, Joe and Riensche, Rick and Rice, Doug and Franklin, Lyndsey and Best, Dan and Baddeley, Bob and Younkin, Katarina and Chatterton, Jack},
abstractNote = {SRS is a web-based and mobile toolkit for information visualization and collaboration. It includes server-side components in the form of web services that provide analytical functions such as data clustering and temporal analysis. The SRS client is accessed via a web browser and uses asynchronous javascript and XML (AJAX) to interact with and visualize the results of these web services. Users of SRS can query data sources that are connected to the SRS backend, and query results are presented in the form of coordinated visual displays in a web browser that depict temporal, topical, and spatial relationships in the results. SRS also includes an early stage graphical reasoning diagram interface that helps analysts express and test hypotheses.
This software was developed with funding from the Science and Technology Directorate of the U.S. Department of Homeland Security.},
doi = {10.11578/dc.20240614.67},
url = {https://doi.org/10.11578/dc.20240614.67},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240614.67}},
year = {2019},
month = {jun}
}