36. A natural language query processing system, comprising: an interface module configured to receive a natural language query; a tokenizing module configured to generate at least one semantic token based on the received natural language query; a searching module configured to retrieve information from a knowledge base using the at least one semantic token; an interpretation module configured to: determine an intention associated with the received natural language query, wherein the intention is expressed in a personalized policy, and process the retrieved information in accordance with the intention, wherein the interpretation module processes the retrieved information by: establishing the personalized policy; applying the personalized policy in conjunction with contextual data obtained from the user to resolve an uncertainty in the natural language query, the contextual data comprising data relating to the user's location and sensor data; receiving feedback relating to the application of the personalized policy; and re-configuring the personalized policy based on the feedback; and an actuation module configured to provide the processed information to a user.
36. A natural language query processing system, comprising: an interface module configured to receive a natural language query; a tokenizing module configured to generate at least one semantic token based on the received natural language query; a searching module configured to retrieve information from a knowledge base using the at least one semantic token; an interpretation module configured to: determine an intention associated with the received natural language query, wherein the intention is expressed in a personalized policy, and process the retrieved information in accordance with the intention, wherein the interpretation module processes the retrieved information by: establishing the personalized policy; applying the personalized policy in conjunction with contextual data obtained from the user to resolve an uncertainty in the natural language query, the contextual data comprising data relating to the user's location and sensor data; receiving feedback relating to the application of the personalized policy; and re-configuring the personalized policy based on the feedback; and an actuation module configured to provide the processed information to a user. 41. The system of claim 36 , wherein the searching module is further configured to identify at least one term having a semantic relationship with the at least one semantic token.