Weaving the Semantic Link Network of Events

Abstract

Event processing is a significant evolution in the field of information technology. Semantic link network (SLN) is a semantic data model for managing resources and their semantic relations. This paper proposes a two-layered SLN model for event processing: the matter level and the event level. The event SLN aims to record and manage the evolving process of the matter level. We propose a domain independent schema for the event SLN consisting of a set of primary link types and a set of reasoning rules. The model is useful in data encapsulating, knowledge retrieving, knowledge flow discovery, and intelligent applications for the internet of things.