A framework for evolutionary query, visualization and evaluation of dynamic environments is proposed. To close the loop in the system requires that the viewer be able to provide feedback, evaluating both the query results as well as the visualization itself. An experimental prototype has been developed to test the feasibility of the proposed approach:

query to dependency tree translator

dependency tree processor

query optimization by dependency tree analysis

We are collecting different categories of queries for further testing, and investigating evolutionary query optimization techniques and various feedback approaches for query result evaluation.