Contextual representations from data streams

A method for creating contextual representations of a data stream through semantic interpretation, comprising:

• receiving a data stream;
• extracting metadata from the data stream;
• extracting at least one feature from the data stream based upon the extracted metadata;
• creating at least one kind classification based upon at least one feature, a kind classification comprising:
• a confidence level of the classification;
• a timestamp;
• and
• the data stream associated with the kind classification;
• and
• presenting at least one kind classification.

A system for creating contextual representations of a data stream through semantic interpretation, comprising:

• an import component configured to:
• receive a data stream as a work packet;
• remove at least one non-semantic entity within the data stream in the work packet;
• create a format table based upon stripped metadata from the data stream;
• and
• create a work packet associated with the data stream and the format table;
• an extraction component configured to:
• extract at least one feature from the work packet;
• a classification component configured to:
• create at least one kind classification based upon at least one feature in the work packet, the kind classification comprising:
• a confidence level associated with the classification;
• a timestamp;
• and
• the data stream associated with the kind classification;
• and
• determine whether at least one duplicate kind classification exists within the work packet;
• and
• upon determining whether at least one duplicate kind classification exists perform at least one of:
• remove the at least one duplicate kind classification from the work packet;
• and
• revise the at least one duplicate kind classification to create a revised duplicate kind classification within the work packet;
• a presentation component configured to:
• present at least one kind classification from the work packet;
• and
• a storage component configured to:
• store at least one kind classification from the work packet in a persistent storage;
• index at least one kind classification within the persistent storage based upon at least one of:
• textual indexing;
• spatial indexing;
• and
• temporal indexing;
• and
• create a schema associated with the at least one kind classification indexed within the persistent storage.