Relation discovery in medicine through Semantic Graph Routing

The kernel concept of semantic web is that the data on the web can be abstracted as different graphs with nodes and links distributed among a multitude of web agents. In this environment, latent relationship discovery can be reduced into Semantic Graph Routing, which aims at searching possible paths...

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Bibliographic Details
Main Authors: Chao Wang, Huajun Chen, Peiqin Gu, Tong Yu
Format: Conference Proceeding
Language:English
Subjects:
Collaboration
Engines
Humans
Resource description framework
Routing
Semantics
Social network services
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Summary:The kernel concept of semantic web is that the data on the web can be abstracted as different graphs with nodes and links distributed among a multitude of web agents. In this environment, latent relationship discovery can be reduced into Semantic Graph Routing, which aims at searching possible paths under reasonable hypotheses within a set of autonomously-maintained and interlinked semantic graphs. Based on our previous work on semantic association discovery, here we establish a useful real life environment where it is proved that our multi-agent approach can be effectively applied. The experimental simulation results show that semantic-aware mechanisms provide notable path searching capability.
DOI:10.1109/EMEIT.2011.6023182