1. A computer-based method for correlating relevant information from multiple entities based on contextual correspondence, said method comprising: receiving, at a computer, information relating to a plurality of the multiple entities, the information including data features and context features; correlating the data features utilizing one or more algorithms running on the computer; correlating the context features utilizing the one or more algorithms running on the computer; aggregating the plurality of the multiple entities based on a correspondence of the data features, a correspondence of the context features, and at least one context model for at least one of storage in a memory associated with the computer and output as data from the computer, wherein the at least one context model includes temporal information associated with the context features; receiving a first contextual event including temporal information at a first location associated with the first contextual event; receiving a second contextual event including temporal information at a second location associated with the second contextual event, wherein the first contextual event is different from the second contextual event and the first location is different from the second location; matching a plurality of entities based on the received contextual events; determining a correspondence value for the matched plurality of entities based on a comparison of at least one of the data features or context features in light of the temporal information of the first contextual event and the first location; dynamically updating the correspondence value for the matched plurality of entities based on a comparison of at least one of the data features or context features in light of the temporal information of the second contextual event and the second location; and outputting the matched plurality of entities that exceed a predetermined correspondence value.