The chronicles paradigm has been used to determine fault in dynamic systems, allows modeling the temporal relationships between observable events and describing the patterns of behavior of the system. The mechanisms used until now usually use semi-centralized approaches, which consist of a central component, that is responsible for making the final inference about the fault diagnosis of the system based on the information collected from the local diagnosers. This model has problems when is implemented for monitoring very large systems, due to the bottleneck representing the central component. In this paper we define a recognition mechanism for a recognition fully distributed of chronicle using Continuous Query Language (CQL). This approach is tested in a classical Web Service Application.