Bottom Up Structured Model Development Using Active Forms and Associative Memories

This proposal describes an innovative approach for creating a battle-space data model; an approach that will allow military experts to directly compose the model rapidly and efficiently. Specifically, we propose to build on our Phase 1 effort that integrated CommandLink, an active forms technology, with an associative memory capable of learning about a data model by observing the interactions users have with forms. We will also integrate Cerebra, an ontology and semantic integration tool; Confederation Web, a database concept to facilitate schema-less shared application data; and learning guided authoring systems tools to facilitate user interaction with the system. Our approach will eliminate the need for top-down model design and enable creation of sharable data content without forcing users to define, build, or maintain structured data models, ontologies, or knowledge bases.