Wireless Protocol Knowledge Graph for Hidden Relation Analysis
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Solution Overview
Problem
Existing wireless communication network research struggles to visually present the association relations between endogenous factors in a hierarchical and structured manner, particularly due to the 'black core' issue in network architecture, making it difficult to understand internal processes and behaviors dynamically.
Innovation Solution
Construct a knowledge graph of wireless communication network protocols by defining entities and relations, using a triplet-based structure, and performing association analysis through node sparse representation and cosine similarity calculation to quantify and update the connection relations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional network architecture is used, then network operation is maintained, but association relations between endogenous factors remain hidden and difficult to understand
Solution Approach 1:
The patent introduces a knowledge graph as an intermediary structure to represent and visualize the association relations between endogenous factors in the network protocol. The knowledge graph construction unit acts as a mediator that transforms hidden associations into visible graphical representations, allowing researchers to understand network internal processes without directly modifying the core network architecture.
Solution Approach 2:
The patent replaces traditional manual analysis methods with automated knowledge graph construction and association analysis algorithms. The system automatically extracts entities, defines relations, builds the knowledge graph topology, and performs association analysis between nodes, substituting manual research efforts with computational methods that can handle large-scale protocol data efficiently.
2Ease of operation
If existing research methods are used, then specific layer knowledge is learned, but relations between layers and elements are not well visually presented
Solution Approach 1:
The knowledge graph construction unit is designed to handle multiple types of network protocol data simultaneously, including data from different layers (physical layer, data link layer, core network layers). It universally processes various endogenous factors and their associations across layers, providing a unified visual representation that works for diverse network data types and research needs.
Solution Approach 2:
The patent transitions from traditional two-dimensional tabular or textual data representations to a multi-dimensional graphical knowledge graph structure. This dimensional change enables simultaneous visualization of entities, their attributes, and hierarchical relationships across multiple network layers, providing spatial and structural context that flat data formats cannot convey.
3Productivity
If manual analysis of network protocols is performed, then detailed understanding is achieved, but the process is time-consuming and inefficient
Solution Approach 1:
The knowledge graph construction unit implements self-service by automatically extracting entities, defining relations, and building the knowledge graph structure without requiring continuous manual intervention. The system autonomously processes network protocol data, identifies associations, and updates the knowledge graph, significantly improving analysis productivity while maintaining accuracy through systematic algorithmic approaches.
Solution Approach 2:
The association analysis unit performs automated analysis between knowledge graph nodes and provides feedback on discovered association relations. This feedback mechanism allows the system to iteratively refine its understanding of network protocols, validate findings, and improve analysis accuracy over time through systematic evaluation and adjustment of association patterns.
Data Source
AI summary
The disclosure discloses a method and system for constructing and analyzing a knowledge graph of a wireless communication network protocol, and a device and a medium. The method for constructing and analyzing the knowledge graph of the wireless communication network protocol includes: defining entities and a relation between the entities according to endogenous factors of a wireless communication network protocol, defining a triplet based on the defined entities and the defined relation between the entities, and constructing a knowledge graph of the endogenous factors of the wireless communication network protocol based on the defined triplet; and performing association analysis between any nodes in the knowledge graph to acquire an association relation hidden between the endogenous factors of the wireless communication network protocol.