Identifying possible contexts for a source of unstructured data

A computer program product for identifying potential contexts for an unstructured data source, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

• identifying potential clues from the unstructured data source, the potential clues each associated with one or more contexts;
• determining a first set of potential contexts for the unstructured data source based on the potential clues;
• calculating an associated confidence value for each potential context in the first set of the potential contexts based on the potential clues;
• and
• returning a second set of potential contexts from the first set of potential contexts.

A system for identifying potential contexts for an unstructured data source, the system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the program instructions configured to cause the system to perform a method comprising:
• identifying potential clues from the unstructured data source, the potential clues each associated with one or more contexts;
• determining a first set of potential contexts for the unstructured data source based on the potential clues;
• calculating an associated confidence value for each potential context in the first set of the potential contexts based on the potential clues;
• and
• returning a second set of potential contexts from the first set of potential contexts.