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Semantic-Based Context Mining and Sharing in Smart Object Networks

Authors:
Eliana Bove

Keywords: Logic-based matchmaking; Pervasive Computing; Machine Learning; Ubiquitous Knowledge Base; Mobile Resource Discovery

Abstract:
The Semantic Web of Things is the evolution of Internet of Things paradigms introducing novel Knowledge Base models, in order to associate semantic representation to real-world objects and events. The paper proposes a semantic-based approach for information high-level representation, knowledge discovery, allotment and sharing in distributed scenarios populated by smart objects. By leveraging the integration of standard supervised machine learning techniques with non-standard semantic-based reasoning services, smart objects annotate in a fully automatic way the context they are in and expose their acquired knowledge to the outside world as in a blog, exploiting a layered architecture built on a publish/subscribe Message Oriented Middleware. The feasibility of the envisioned framework is supported by a case study and an early experimental campaign.

Pages: 77 to 82

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-507-4

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016