1. A process for representing knowledge on computational devices, the process comprising: Providing an ontology stored on a computer-readable medium; Labeling elements in a knowledge signature according to concepts in the ontology, the knowledge signature comprising a machine-readable data structure derived from the ontology and stored on a computer-readable medium; and Populating the elements with confidence values by generating an observed confidence value from a data set according to an observation engine and by generating inferred confidence values from at least one observed confidence value according to at least one refinement engine, wherein the confidence values, are calculated by a processor and represent a confidence that the concepts are present in an information space, the observation engine comprises a program module on a computer-readable medium configured to recognize a particular concept within the data set, and the refinement engine comprises a program module on a computer-readable medium configured to infer the presence of concepts related through the ontology to those recognized by the observation engine.
1. A process for representing knowledge on computational devices, the process comprising: Providing an ontology stored on a computer-readable medium; Labeling elements in a knowledge signature according to concepts in the ontology, the knowledge signature comprising a machine-readable data structure derived from the ontology and stored on a computer-readable medium; and Populating the elements with confidence values by generating an observed confidence value from a data set according to an observation engine and by generating inferred confidence values from at least one observed confidence value according to at least one refinement engine, wherein the confidence values, are calculated by a processor and represent a confidence that the concepts are present in an information space, the observation engine comprises a program module on a computer-readable medium configured to recognize a particular concept within the data set, and the refinement engine comprises a program module on a computer-readable medium configured to infer the presence of concepts related through the ontology to those recognized by the observation engine. 4. The process as recited in claim 1 , wherein the data set comprises information selected from the group consisting of text documents, video segments, audio segments, images, graphs, database records, sensor data, and combination thereof.