1. A method for facilitating meta-analysis of data captured for intelligence purposes using a computer network and implemented as an unconstrained system, the method comprising the steps of: (a) establishing a distributed acquisition server architecture within the computer network responsive to a data-flow driven environment; (b) sampling a plurality of streams of unstructured data by said distributed acquisition server architecture; (c) converting said plurality of streams of unstructured data into a well described normalized form of binary data via a dedicated mining language tied to a current system ontology; (d) storing said converted binary data in a memory system tied to said current system ontology within said computer network, wherein said memory system defines a plurality of persistent storage containers required to contain said converted binary data; (e) directing said storing step with a memory management system which splits said converted binary data into an appropriate one of said plurality of persistent storage containers; (f) executing one or more control and/or data-flow based programs, called widgets, on said converted binary data stored in said plurality of persistent storage containers, wherein execution of said one or more widgets begins when a matching set of data objects or tokens from said converted binary data appear on an input data-flow pin of said one or more widgets; (g) producing a set of resultant data tokens on an output data-flow pin of said one or more widgets, wherein said set of resultant data tokens become part of said data-flow driven environment in said persistent storage containers or in a memory of a computer within the computer network; (h) querying a registered search capability of one or more said plurality of persistent storage containers producing a list of hits; (i) querying said list of hits with Boolean and other operators to specify logical combinations of said list of hits; (j) displaying and interacting with said plurality of streams of unstructured data, said list of hits, and said logical combinations of said list of hits through a user interface on a display device within the computer network; (k) forming collections of datums from said logical combinations of said list of hits through a memory collections system that forms and enables manipulation and exchange of said collections of datums both within a local computer as well as across the computer network; (l) delivering said collections of datums for meta-analysis to a user accessing the computer network through said user interface; and (m) based upon said meta-analysis by said user, revising said querying steps (h) and (i) repeating steps (j), (k) and (l).