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Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics
Nov.-Dec. 2010 (vol. 25 no. 6)
pp. 32-41
Davide Barbieri, Polytechnic of Milan
Daniele Braga, Polytechnic of Milan
Stefano Ceri, Polytechnic of Milan
Emanuele Della Valle, Polytechnic of Milan
Yi Huang, Siemens
Volker Tresp, Siemens
Achim Rettinger, Karlsruhe Institute of Technology
Hendrik Wermser, Technical University of Munich

A combined approach of deductive and inductive reasoning can leverage the clear separation between the evolving (streaming) and static parts of online knowledge at conceptual and technological levels.

Index Terms:
stream reasoning, online learning, social media analytics, deductive reasoning, inductive reasoning, RDF streams, SPARQL, C-SPARQL
Citation:
Davide Barbieri, Daniele Braga, Stefano Ceri, Emanuele Della Valle, Yi Huang, Volker Tresp, Achim Rettinger, Hendrik Wermser, "Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics," IEEE Intelligent Systems, vol. 25, no. 6, pp. 32-41, Nov.-Dec. 2010, doi:10.1109/MIS.2010.142
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