This proposed project aims to demonstrate the feasibility and utility of a data mining system designed to facilitate the interpretation of information obtained from distributed information sources. Each source providing data on high value data would be modeled as an information retrieval system. This approach is effective whenever several systems are available that are used by different groups to retrieve information from databases defined in the same information universe. For purposes of insuring comparability and defining a shared information universe for investigative operations, a uniform resource identifier (UFI) will be used to filter the raw data. An independent retrieval system, defined on the distributed databases of UFIs, will be implemented for the sources. The collective results of these systems will be used to determine (in real-time) a norm for any given search. This norm will then be used to identify either high-profile or unusual activities that warrant further investigation.