Network knowledge unified representation architecture in Internet of Things and implementation method thereof

Abstract

The invention discloses a network knowledge unified representation architecture in the Internet of Things and an implementation method thereof. The architecture comprises a network knowledge classification module, a network knowledge space construction module, a local network knowledge representation module, a collaborative network knowledge representation module, a network knowledge storage module, a network knowledge fusion module, a network knowledge verification module and a network knowledge reasoning module. The method comprises the following steps: setting a network knowledge construction layer, a network knowledge representation layer, a network knowledge management layer and a network knowledge service layer, wherein the network knowledge construction layer is responsible for determining the category of network knowledge in the multi-domain environment, the network knowledge representation layer is responsible for systematic identification of network knowledge structures, modes and contents, the network knowledge management layer is responsible for network knowledge storage, fusion and verification under the condition that network communication resources are limited, and the network knowledge service layer is responsible for network knowledge learning, reasoning, distribution and on-demand acquisition. The method can support network elements to complete routing addressing, management control, security and other functions by using network knowledge, thereby reasonably deploying network resources.

Description

technical field

[0001] The invention relates to the technical field of information communication networks, and in particular to a unified representation framework and implementation method of network knowledge in an intelligent network. Background technique

[0002] Facing the intelligent connection of human-machine-things in the future, the technical features of the information communication network will expand from human-machine-things-based smart connections, the technical focus will shift from information services to intelligent information services, and technical capabilities will expand from connected information For connected intelligence.

[0003] The biggest feature of the future network is the realization of cognitive intelligence. The intelligent agents in the network can realize direct connection at the knowledge level. According to certain rules and mechanisms, just like human society, they can form a self-optimizing, self-learning, self-evolving, and self-manag...

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