Abstract
Stream reasoning is an emerging research field focused on dynamic processing and continuous reasoning over huge volumes of streaming data. Finding the right trade-off between scalability and expressivity is a key challenge in this area. In this paper, we want to provide a baseline for exploring the applicability of complex reasoning to the Web of Data based on a solution that combines results and approaches from database research, stream processing, and nonmonotonic logic programming. © 2013 Springer-Verlag.
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CITATION STYLE
Mileo, A., Abdelrahman, A., Policarpio, S., & Hauswirth, M. (2013). StreamRule: A nonmonotonic stream reasoning system for the semantic web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7994 LNCS, pp. 247–252). https://doi.org/10.1007/978-3-642-39666-3_23
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