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.
2020
Reasoning Web. Declarative Artificial Intelligence
978-3-030-60067-9
File in questo prodotto:
File Dimensione Formato  
Stream_Reasoning__From_Theory_to_Practice.pdf

accesso aperto

: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 1.2 MB
Formato Adobe PDF
1.2 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1146324
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact