Obligation Policies specify management actions that must be performed when a particular kind of event occurs and certain conditions are satisfied. Large scale distributed systems often produce event streams containing large volumes of low-level events. In many cases, these streams also contain multimedia data (consisting of text, audio or video). Hence, a key challenge is to allow policy writers to specify obligation policies based on high-level events, that may be derived after performing appropriate processing on raw, low-level events. In this paper, we propose a semantic obligation policy specification language called Eagle, which is based on patterns of high-level events, represented as RDF graph patterns. Our policy enforcement architecture uses a compiler that builds a workflow for producing a stream of events, which match the high-level event pattern specified in a policy. This workflow consists of a number of event sources and event processing components, which are described semantically. We present the policy language and enforcement architecture in this paper.