SBIR-STTR Award

3 Sigma Research proposes an innovative approach to develop a open architecture based data model and process for adding self-identifying information to a datagram. The power of our potential solution is in applying results from our research of Packaged Ontology Certificates to the unique performance issues with real-time processing of datagrams. Combining this with a revolutionary way of viewing how application development environments can enhance and facilitate the open services model of enterprise servers can potentially remove many of the obstacles that hinder migration to Service Oriented Architectures in a Global Information Grid (GIG) framework. Our Packaged ONtology Certificate Real Time Model (PONC-RTM) Investigation explores the concept for an enterprise information architecture that makes use of a PONC integrated into the datagram to extend automated, appropriate, delivery controls for information. Our innovative approach combines the power of ontology-based reasoning components in scalable open architecture to address the process of making intelligent decisions with regard to restrictions, purpose, and context of the data content.

Benefit:
The potential of this approach positively affects every user in the enterprise. The greatest benefit is increased information assurance in data delivery. In addition, dynamic applications could now be developed to explore the effects of potentially disseminating real-time and UDP-based information more effectively; allowing IA managers to more effectively manage the security classification characteristics of the entire enterprise. We can envision this approach as a strong complement to cross-domain solutions. The strength and scalability of the approach could ultimately provide unique solutions to accessing existing knowledge not typically available in rapidly changing enterprise resources. Above any other benefit is the fact that, wherever warfighters are, secure information at the right level of detail and appropriately accessed or disseminated can greatly increase the efficiency of their activities.

Keywords:
Information Assurance, Information Assurance, object identifiers, Web Ontology Language (OWL), Ontology, datagram, Data Tagging, Data Models, Enterprise Architecture, data distribution management system, Multilevel Security

The Packaged Ontology Certificate Real Time Model (PONC-RTM) Investigation of Phase I developed the concept for extending an enterprise information architecture to make use of PONCs integrated at the datagram level to automate the validation, routing, and control of information that is at the correct and validated security level, appropriate (need to know) for the receiver, and relevant to the group/organization. The innovative approach combines the power of ontology-based reasoning components in a service-oriented architecture that automates the process of making intelligent decisions with regard to security restrictions, purpose, and context of datagram delivery. In Phase II effort, focus is on the development of the prototype elements of the PONC-RTM; a SOA-compatible PONC RTM service, and a local PONC-RTM service adaptor used by HLA federate applications. Although the elements support HLA and DIS, they would be protocol independent, allowing for use beyond HLA based environments. The instantiation of the PONC-RTM service adaptor in Federate Applications brings awareness of the context of the source, destination, and content, characteristics through validation of a subset of ontology relevant to scenario participants.

Benefit:
The potential of this approach positively affects every user in the enterprise. The greatest benefit is increased information assurance in data delivery. In addition, dynamic applications could now be developed to explore the effects of potentially disseminating real-time and UDP-based information more effectively; allowing IA managers to more effectively manage the security classification characteristics of the entire enterprise. We can envision this approach as a strong complement to cross-domain solutions. The strength and scalability of the approach could ultimately provide unique solutions to accessing existing knowledge not typically available in rapidly changing enterprise resources. Above any other benefit is the fact that, wherever warfighters are, secure information at the right level of detail and appropriately accessed or disseminated can greatly increase the efficiency of their activities.

Keywords:
Data Tagging, data distribution management system, Information Assurance, Enterprise Architecture, Data Models, object identifiers, Multilevel Security, datagram, Ontology, Web Ontology Language (OWL)