The Defense Advanced Research Projects Agency has asked industry to propose applied research and basic concepts that could help build and maintain systems designed to facilitate automated knowledge curation, discovery and application.
A FedBizOpps notice posted Aug. 17 says the Artificial Intelligence Exploration opportunity focuses on two technical areas: machine-assisted curation and machine-assisted inference.
The machine-assisted curation TA seeks approaches that work to extract data from scientific model documentation, code and publications to develop and maintain scientific models’ semantic representations, while the machine-assisted inference TA aims to develop and apply ontologies and meta-process models for inference methods used in systems analysis.
DARPA will award up to $1 million through an “other transaction†agreement to develop a prototype under the two-phase Automating Scientific Knowledge Extraction initiative that has a six-month base term and a one-year option.
The initial phase calls for interested stakeholders to establish the feasibility of their prototype system and the second phase is for the proof of concept.
DARPA said proposers may address both technical areas provided that each submission focuses on only one area.
Proposals are due Sept. 17, according to the notice.