Automate Ontological Representation of security classification guides

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-09-C-0103
Agency Tracking Number: F083-037-1649
Amount: $99,850.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: AF083-037
Solicitation Number: 2008.3
Small Business Information
420 College Ave, Angwin, CA, 94508
DUNS: 135904964
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Adam Pease
 CEO
 (707) 965-2562
 apease@articulatesoftware.com
Business Contact
 Adam Pease
Title: CEO
Phone: (707) 965-2562
Email: apease@articulatesoftware.com
Research Institution
N/A
Abstract
The volume of information available is making it impractical to rely completely on humans to touch, assess and classify every bit of information, especially when there may be multiple overlapping security classification guidelines that are applicable. Automation is needed on two fronts: (1) to design security classification guides that are clear, formal, explicit and mutually consistent and non-redundant (2) to apply security classification guides with the smallest amount of feasible human intervention.  We will use an existing language to logic translation system (called the Controlled English to Logic Translation system) to convert security classification guides into formal logic, utilizing new and existing definitions from the Suggested Upper Merged Ontology (SUMO).  We will ensure that the translated rules are clear and consistent with automated theorem proving conducted in our Sigma Knowledge Engineering Environment. BENEFIT: The resulting system will enable security classification guides to be turned into computer-executable specifications.  Security guides will be able to be tested automatically for internal consistency and consistency with other guides.

* Information listed above is at the time of submission. *

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