Adaptive Agent-based System for Information Filtering (AASIF)

The tenets of netcentric warfare (NCW) have been duly embraced by DoD. While programs like the Army Battle Command System can facilitate NCW concepts, the associated problem of information overload can arise. Information overload is already apparent in the business sector where knowledge workers spend needless extra time searching for or are unable to find needed information. One can surmise that similar issues will be faced within the NCW-based military operations environment. A concerted science and technology effort is needed to support the effective filtering and organization of information to support enhance situation awareness and effective decision-making and to fully reap the benefits of NCW. Here, we propose an Adaptive Agent-based System for Information Filtering (AASIF) to support rapid information discovery and filtering for the warfighter within a netcentric environment. The system consist of a metadata extraction component to augment existing network metadata services and data descriptions; a context analyzer component to focus user information requirements in light of the user's profile and the current situational context; an information filtering component to perform translation of the information stream into context appropriate information clusters; and a manager component to dynamically manage on-line data subscriptions within a publish and subscribe environment.