Stream Reasoning (SR) envisioned, investigated and proved the possibility to make sense of streaming data in real-time. Now, the community is investigating more powerful solutions, realizing the vision of expressive stream reasoning. Ontology-Based Event Processing (OBEP) is our contribution to this field. OBEP combines Description Logics and Event Recognition Languages. It allows describing events either as logical statements or as complex event patterns, and it captures their occurrences over ontology streams. In this paper, we define OBEP’s query model, we present a language to define OBEP queries, and we explain the language semantics.
CITATION STYLE
Tommasini, R., Bonte, P., Valle, E. D., Ongenae, F., & Turck, F. D. (2018). A query model for ontology-based event processing over rdf streams. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11313, pp. 439–453). Springer Verlag. https://doi.org/10.1007/978-3-030-03667-6_28
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