Abstract
The Semantic Link Network (SLN) is a loosely coupled semantic data model for managing the network resources. A SLN consists of three components: a set of semantic nodes, a set of semantic links, and a set of reasoning rules. Semantic nodes can be objects of any types. Semantic links reflect the semantic relations among objects. Reasoning rules, which describe the internal relations among semantic links, are used to derive new semantic links hidden behind. SLN is designed to establish semantic relationships among various resources for extending the current hyperlink network to a semantic-rich network. In this paper, we conduct a survey on the research of SLN from its theory and applications. Furthermore, the future trends of SLN and it's potential applications in future Internet of Things are discussed.
Published Version
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