Advanced Self-Learning Ontologies

Securboration, Dartmouth College, and George Mason University has created a uniquely qualified team to develop solutions in support of self-learning ontologies. Securboration’s innovative approach called Ontology Generation and Evolution Processor (OGEP) directly attacks the main barrier which prevents the self-learning of ontologies: the ability to understand the meaning of artifacts and the relationships the artifacts have to the domain space. OGEP leverages existing lexical to ontological mappings integrated with Securboration’s proven Semantic Grounding Mechanism (SGM) and Semantic Processor Engine (SPE) resulting in an innovative approach to user assisted semantic-based ontology generation. Ontologies generated with OGEP will provide capabilities to discover and evolve semantic relationships breaking through the barrier that prevents self-learning ontologies. The team’s extensive experience in ontology development will ensure the ontologies generated by OGEP will support automated reasoning within the fusion/uncertainty domain as opposed to ending up as a ‘paper’ document on a shelf. Securboration is currently involved with JFCOM Joint Deployment Program Owner (JDPO) program office on developing ontologies to support operational readiness. The ontologies are leveraged in the service oriented architecture based “J3 Readiness Application”, which provides an excellent program to test out the OGEP concept and provides a transition plan for the technology.