Ontological Models to Support Planning Operations

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX11CD47P
Agency Tracking Number: 105407
Amount: $99,839.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solitcitation Year: 2010
Solitcitation Topic Code: X6.01
Solitcitation Number: N/A
Small Business Information
TRACLabs, Inc.
TX, San Antonio, TX, 78216-6363
Duns: 193786014
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Russell Bonasso
 Principal Investigator
 (281) 461-7804
 bonasso@traclabs.com
Business Contact
 David Kortenkamp
Title: CEO
Phone: (281) 461-7884
Email: korten@traclans.com
Research Institution
 Stub
Abstract
Automation and autonomy technologies, such as automated planning software, are key elements in realizing the vision for space exploration. A fundamental requirement for success with these technologies is that they operate using valid models or ontologies of the application domains. Making ontological information available to automated systems is difficult because 1) domain experts reason in domain terms, not the formal logic of ontologies; 2) the states and configurations of the specific objects in the domain are both voluminous and dynamic, making manual entry and maintenance prohibitive; and 3) the data required, especially state updates, need to be extracted or imported from other disparate systems. This proposal seeks to investigate, design and test a framework for consistent ontological modeling both within and across domains that can be exploited by automated planners currently being developed by NASA's exploration technology program. Specifically we will investigate a modeling framework that provides 1) an ontological representation of domain information in a standard format that can be used by NASA's developing planning software, 2) an interactive editing environment to allow domain experts to construct and maintain the ontological information; and 3) a general, systematic, and maintainable semantic mapping from external data sets into the user-constructed ontology.

* information listed above is at the time of submission.

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