3. The method of claim 1 , wherein said step of creating the contextual tokens from the text comprises annotating the text using rule-based state machines.
1. A method for automated ontology building, comprising: creating, from text, contextual tokens representing at least one of date and time; calculating a dependency graph across the contextual tokens using at least one parse tree obtained by parsing the text; generating concept instance candidates and parent-child relationships based on pattern matching and transformation of the at least one parse tree; grouping concept instance candidates into concept candidates using concept candidate keys, the concept candidate keys being a sequence of triplets; arranging the concept candidates into a tree having tree nodes and creating predicate-based relationships between the tree nodes based on patterns and predicates identified in the text; scoring and sorting the tree nodes; performing an analysis of the tree nodes and rebalancing the tree based on the analysis to provide an ontology based on the text and formed as an output graph comprising a plurality of nodes; and providing a user interface for editing the ontology by selectively choosing from a plurality of options including adding a new node to the output graph, removing an existing node from the output graph, moving one of the plurality of nodes or a sub-graph across a parent-child hierarchy in the output graph, creating a new relation across the plurality of nodes, and removing an existing relation edges from the output graph.