In this paper, we describe our work-in-progress with collaborative understanding of distributed ontologies in a multiagent framework. As reported earlier, the objective of this framework is to improve communication and understanding among the agents while preserving agent autonomy. Each agent maintains a dictionary for its own ontology and a translation table. Our current work has focused on how neighborhood profiling, the translation tables, and query experience influence the collaborative activities among the agents. We have built an infrastructure prototype and conducted a series of comprehensive experiments from the viewpoint of agent executions, query scenarios, and translation credibility values. The specific goals of our analyses are to investigate (a) the learning of useful neighbors for sharing queries, (b) the efficiency of query handling in different real-time scenarios and with different resource constraints (such as the number of threads and available translations), and (...