SemaKoDE: hybrid system for knowledge discovery in sensor-based smart environments

Authors:
Stefan Negru
Affiliations:
Faculty of Computer Science, A. I. Cuza University of Iasi, Romania
Venue:
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Year:
2012

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Abstract

This article describes a conceptual hybrid architecture for a knowledge discovery system, able to automatically annotate, reason, classify and operate with sensor data. The adoption of semantic web technologies to enrich sensor and link data represents an adequate methodology that facilitates the processes of reasoning, classification and other types of automation. We discussed a system deployment scenario in the context of e-health.