In the Global War on Terror (GWOT) large amounts of data must be effectively analyzed in a timely manner in order to provide an accurate and up-to-date understanding of current and potential threats. This problem requires robust real-time knowledge management that can be placed in the hands of human analysts. At the forefront of research in this area is the recent emergence of Semantic Wikis web-based collaborative knowledge applications based around semantic web technologies of knowledge representation and automated reasoning. We propose to design an advanced Semantic Wiki customized to handle the large amounts of data relevant to the GWOT. The solution will leverage VIStologys expertise in ontology management, text processing, consistency checking and highly efficient automate reasoning over semantic knowledge structures. For Phase I we will implement a prototype based on our design that will demonstrate the feasibility of our proposed approach. This prototype will have integrated into it as core components a fast reasoning engine, a rule-based alert notification engine, a robust consistency checker and state-of-the-art text extraction algorithms. A key capability will permit users to define high-level rules describing data patterns that will be monitored in real-time with notifications being sent out immediately to the appropriate users by email, SMS, twitter or an alternative means at the users choice.
Keywords: Semantic Web, Wiki, Semantic Wiki, Knowledge Management, Cognitive Science/Artificial Intelligence, Data Sharing, Automated Alerting, Rdf/Owl
