Advances of the Semantic Link Network

Author

Wang, Shenling ; Sun, Yunchuan ; Zhang, Hongyang ; Yu, Xiaofeng ; Bie, Rongfang

Author_Institution

Beijing Normal Univ., Beijing, China

fYear

2012

fDate

22-24 Oct. 2012

Firstpage

120

Lastpage

127

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.

Keywords

Internet of Things; data models; inference mechanisms; resource allocation; semantic networks; Internet of Things; SLN; hyperlink network; internal relations; network resource management; reasoning rules; semantic data model; semantic link network; semantic nodes; semantic relations; semantic-rich network; Browsers; Cognition; Data models; Semantic Web; Semantics; Unified modeling language; Intelligence; Knowledge Representation; Reasoning; Semantic Link; Semantic Link Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Semantics, Knowledge and Grids (SKG), 2012 Eighth International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4673-2561-5

Type

conf

DOI

10.1109/SKG.2012.16

Filename

6391819