While recent efforts in cross-domain information sharing have developed platforms and infrastructure for information sharing, they do not address issues of human-system interactions within the framework of existing information creation, visualization and communication environments. This project will focus on developing front-ends to information sharing services and support tools, assisting analysts in identifying information that is relevant and shareable across domains having different security classifications. The objective is to create a standard environment for information reclassification that leverages state of the art content-based information analysis capabilities such as intelligent information sharing assistant (IISA) currently under development at Enkia. Enkia proposes an interactive environment for semi-manual and automatic information review that can help analysts: (i) identify documents that should/shouldnt be shared, given the topical relevance of those parts to the users and task context, (ii) identify parts of documents that should/should not be shared, based on security level of the domain and potential users, and (iii) manage published information and tracking release within different domains. Enkia's approach will help cooperating groups share information in a standard operational setting, thereby eliminating the need for training on non-standard reclassification processes.
Keywords: Cross Domain Information Sharing, Security Domains, Information Assurance, Information Dissemination, Artificial Intelligence, Natural Language Processing, Document Categoriza
