In order to satisfy the industrial requirements of processing dynamic knowledge from possibly heterogeneous sources, various query languages have been proposed which aim at lifting the relational stream query languages to the ontological/semantic layer. Most of the languages adapt important relational stream operators such as sliding window operators to this layer. But the adaptation and the semantic specification of the stream operators is not trivial due to the additional entailments and constraints w.r.t. ontologies. In this paper, we discuss the semantics of the new query-language framework STARQL (Streaming and Temporal ontology Access with a Reasoning-Based Query Language) in comparison to other stream-temporal query languages and provide results stating its connections to the semantics for temporal logics over ontologies.