SBIR/STTR Research Award

Materials Ontology Design and Development (MODD)

Award identifier 5df21a680308a05981b2ba38d3240c2c76a5c068f913942eefd8cfebbc780d4fAwarding agency Department of Defense · Air Force

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2014

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
DECISIVE ANALYTICS CORPORATION
Proposal award date
2014-02-14
Contract end date
2014-11-14
UEI
MFA3QKYKLL31
Solicitation number
2013.3
Topic code
OSD13-C02

Research abstract

Semantically Linked Data is widely seen as a revolutionary approach for maximizing the usefulness of existing and future information. In the materials domain, semantically linked materials data holds considerable promise with the ability to facilitate materials research and product development, improve communication, and open up avenues for new types of materials informatics. But realizing the promise of Linked Data, requires establishing a meaningful vocabulary through which to describe concepts in the materials domain. The Materials Ontology Design and Development (MODD) effort is aimed at developing an ontology to realize the goals of linked data within the materials domain. As a direct result of Phase I research, the MODD ontology will link knowledge from a variety of existing materials databases. Additionally, because unstructured text, e.g. journal articles, contain large amounts of the available materials data MODD includes a relation extraction capability which can automatically structure this knowledge according to the ontology. Finally, because terminological variabilityin the vocabulary and in the datathreatens to hinder the utility of this project, we include automated capabilities for identifying and eliminating these types of variation. Combining these three capabilities, MODD will advance the state-of-the-art in materials information management with semantically linked materials data.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

142 SBIR/STTR records share this UEI (2002–2019). Reported award amounts total $60,145,153. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Homeland Security

Contractor profile

DECISIVE ANALYTICS CORPORATION

Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.