Stream Reasoning is set at the confluence of Artificial Intelligence and Stream Processing with the ambitious goal to reason on rapidly changing flows of information. The goals of the lecture are threefold: (1) introducing students to the state-of-the-art of Stream Reasoning, (2) deep diving into RDF Stream Processing by outlining how to design, develop and deploy a stream reasoning application, and (3) jointly discussing the limits of the state-of-the-art and the current challenges.
Stream Reasoning: From Theory to Practice
E. Falzone;R. Tommasini;E. Della Valle
2020-01-01
Abstract
Stream Reasoning is set at the confluence of Artificial Intelligence and Stream Processing with the ambitious goal to reason on rapidly changing flows of information. The goals of the lecture are threefold: (1) introducing students to the state-of-the-art of Stream Reasoning, (2) deep diving into RDF Stream Processing by outlining how to design, develop and deploy a stream reasoning application, and (3) jointly discussing the limits of the state-of-the-art and the current challenges.File in questo prodotto:
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Stream_Reasoning__From_Theory_to_Practice.pdf
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