Existing distributed real-time cooperative systems mainly use operation transformation technique to provide concurrency control service. But the performance of a run-time system will be degraded when the system produces a large amount of collaborative data. A novel concurrency control framework named madOPT based on collaborative data objects is then proposed in this paper. madOPT resolves conflicts by utilizing operation semantics of the accessed data objects. In addition, it integrates a data transmission framework with an operation transformation method and allows the running system to load the data objects dynamically. The enhancement of madOPT over dOPT (distributed operation transformation) is that it reduces the number of queries in operation log during an operation transformation. It takes object attributes as the granularity of concurrency control and thus can support graph and image objects. It also adopts multicast agent to improve the efficiency of data distribution as well as the performance of the system.