12. A computer-readable storage medium for implementing intelligent agent services, the computer-readable storage medium including instructions embodied on a computer readable medium for implementing a method, the method comprising: generating an ontological domain for an individual based upon information elements, wherein a set of information elements represents a behavior of the individual at a point in time, the generating including creating subdomains of contextually organized collections of a plurality of sets of the information elements, the subdomains including any orthogonally related data identified among a plurality of behaviors; determining relevance of relationships among the plurality of sets of the information elements in the ontological domain, the relevance determined based upon measurable aspects, wherein a relationship determined to be relevant is identified as an interest of the individual; identifying sources of information topically related to the interest; searching the sources of information using the plurality of sets of the information elements having the relationship determined to be relevant to identify a solution for satisfying the interest; detecting the behavior of the individual, gathering the information elements from a portion of the sources in response to the detecting; and wherein detectable behaviors represent behavioral indicators that occur within a physical and virtual geography and in relation to time, the detectable behaviors including a transaction, a presence of the individual at a location, a presence of the individual at a function, and a computer query; wherein the presence of the individual at a function is determined by analyzing a combination of activities conducted by the individual at the sources.
12. A computer-readable storage medium for implementing intelligent agent services, the computer-readable storage medium including instructions embodied on a computer readable medium for implementing a method, the method comprising: generating an ontological domain for an individual based upon information elements, wherein a set of information elements represents a behavior of the individual at a point in time, the generating including creating subdomains of contextually organized collections of a plurality of sets of the information elements, the subdomains including any orthogonally related data identified among a plurality of behaviors; determining relevance of relationships among the plurality of sets of the information elements in the ontological domain, the relevance determined based upon measurable aspects, wherein a relationship determined to be relevant is identified as an interest of the individual; identifying sources of information topically related to the interest; searching the sources of information using the plurality of sets of the information elements having the relationship determined to be relevant to identify a solution for satisfying the interest; detecting the behavior of the individual, gathering the information elements from a portion of the sources in response to the detecting; and wherein detectable behaviors represent behavioral indicators that occur within a physical and virtual geography and in relation to time, the detectable behaviors including a transaction, a presence of the individual at a location, a presence of the individual at a function, and a computer query; wherein the presence of the individual at a function is determined by analyzing a combination of activities conducted by the individual at the sources. 16. The computer-readable storage medium of claim 12 , further comprising instructions for implementing: storing each of the plurality of sets of information elements in a corresponding record using a standard data structure having corresponding data fields, the record including a unique identifier; and storing records produced for each of the plurality of sets of the information elements in a database; wherein creating subdomains that include orthogonally related data includes identifying matching information elements from data fields across multiple records in the database via corresponding unique identifiers.