Charles River Analytics, a developer of intelligent systems solutions, presents its Knowledge-based Access and Data Integration (KADI) technology. KADI is a service-oriented architecture (SOA) framework that provides a rich, responsive, and remotely accessible information environment. It improves the dissemination of data from disparate and heterogeneous sensor sources. Analysts and researchers who are confronted daily with vast volumes of data can use KADI technology to improve information exchange and decision making.
The growing arsenal of rapidly improving, network-centric sensor platforms shows great potential to enhance the current situational awareness capabilities of the US Air Force. Non-traditional sensors collect a diverse range of data that can significantly enhance the Common Operational Picture when integrated with conventional intelligence, surveillance, and reconnaissance (ISR) collection capabilities. Much of the utility and timeliness of this data is lost, as the stove piping of systems requires integration of conventional and non-conventional ISR systems, which can currently only be performed with human intervention.
The Charles River Analytics Solution
We developed Knowledge-based Access and Data Integration (KADI) as a service-oriented architecture that improves the dissemination of data from disparate and heterogeneous sensor sources. We did this by automatically indexing the data with semantic labels that describe what content is in the data. KADI leverages technologies developed for Semantic Web applications to provide retrieval and alerting services that overcome the stove piping that occurs in legacy systems. It provides a rich, remotely accessible information environment that is responsive to a user’s needs.
Consider an example of a mission planner searching databases to identify threats to air operations. An error in a text label, such as entering ssm-1 instead of sam-1 would prevent a record from being retrieved, which could lead to disastrous consequences. KADI uses semantic tags that simplify searches and prevents this type of error. KADI returns more comprehensive results, with more natural queries, and does not require label standardization.
Analysts and researchers in many domains (e.g., academic, business, law enforcement, military) who are confronted daily with vast volumes of data that are referenced differently by different users (e.g., economic values, production volumes, regulatory standards) can use KADI to improve information exchange and decision making. KADI enhances decision aids for analysis, situation awareness, and planning with an advanced semantic storage and retrieval capability. KADI technology can be integrated as a web service in a variety of decision-aiding systems and business-intelligence tools to provide enhanced intelligence and situation awareness.
This material is based upon work supported by The United States Air Force under Contract No. FA8750-09-C-0130. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of The United States Air Force.