Models of High-Level Declarative Stream
              Processing

                            Özgür L. Özçep

                Institute of Information Systems (IFIS)
                          University of Lübeck
                            Lübeck, Germany
                     oezcep@ifis.uni-luebeck.de



Abstract. In recent years, many ideas, concepts, and techniques for
processing low-level streams—such as streams of sensor data—have been
adapted to processing streams of assertions—such as RDF streams. Most
of the existing models for high-level declarative stream processing imple-
ment common ideas, but in particular w.r.t. the window semantics they
(may) show differences that are due to the intended application scenar-
ios, the underlying ontology expressivity, the modeling paradigm, or the
expressivity of the language in which background knowledge is mod-
elled. In this talk I am going to focus on a specific model for high-level
declarative stream processing, the one that was used for the query lan-
guage STARQL, and report on insights that we gained in implementing
a STARQL stream-temporal sub-module within the software platform
developed in the FP7 project Optique.

Keywords: streams, OBDA, temporal reasoning