1. A system, comprising: a memory operable to store visualization rules, the visualization rules comprising level of detail rules, reduction rules, and rewriting rules; and a processor communicatively coupled to the memory and operable to: receive a visualization request relating to information stored in an ontology; parse the visualization request to generate a search query; submit the search query to the ontology, wherein the ontology is dynamically created to store retrieved data that is collected from a data source; perform data mitigation to process the retrieved data to detect and resolve conflicts among classified tokens provided by data agent, wherein the data mitigation uses quality score, trust score, and rate of decay for the data source; receive, in response to the query, a result comprising a plurality of instances associated with the classified tokens and a plurality of relationships between the instances; and generate a visual representation of the result using the visualization rules, wherein generating the visual representation of the result using the visualization rules comprises: identifying a relationship between a first instance and a second instance from the plurality of instances within the result; removing the relationship between the first instance and the second instance from the results; and removing the first instance from the results when the first instance has no relationships with any other instances from the plurality of instances.