Description And Tracing Mechniasm Of User's Behavior: Research And Realization

With the pervasive usage of digital product and rapid development of Internet, Digital Rights Management (DRM) should be established. In complicated DRM system, it's required a trace mechanism to record user's behaviors to audit if those violate digital rights license in order to ensure execution of digital right better than before.The contribution of this paper is to research and implement a set of mechanism, which acquired user's behaviors rules and forecast user's behaviors in future based on description and trace of digital product user's behaviors. In this mechanism, description method of user's behaviors is mainly based on the temporal description logic, not only express static characteristic of behavior but also depict temporal relationship among behaviors. To acquired behavior rules, this paper adopt conclude learning. And it combine conclude learning with trace model to put forward trace model with reasoning ability, in order to forecast user's behaviors in future based on record track of user's behaviors. This model's outstand feature is that can utilize conclude learning to mine the behavior rule and forecast user's behaviors through reasoning mechanism, which compare to the existing Apriori algorithm and proven superiority to Apriori algorithm...