Content rule base management system and encoding method thereof

A coding method and library management technology, applied in the content rule library management system and its coding field, can solve problems such as the inability to quickly discover source data structure changes, and achieve the effect of saving processing costs
CN106599160AInactive Publication Date: 2017-04-26网帅科技(北京)有限公司

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
网帅科技(北京)有限公司
Publication Date
2017-04-26
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a content rule base dictionary encoding method, and a dictionary of a content rule base is set as 20-bit dictionary encoding system. The invention further discloses a content rule base management system. The system comprises a content rule base visual management module, a URL data pre-processing classification module, an important application APP / website tracking module, a webpage restoration module, a webpage crawler module, a webpage content analysis, and the content rule base. The system disclosed by the invention has the advantages that the a behavior log of a user to access the mobile internet can be analyzed and translated from all aspects on the large-scale, thereby forming a holographic mapping knowledge graph of the mobile internet user to support the subsequent various content analysis applications.
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Description

technical field

[0001] The invention relates to the technical field of data processing, in particular to a content rule base management system and an encoding method thereof. Background technique

[0002] Telecom operators obtain the original signaling data of customers' Internet access through optical splitting. After the first-level DPI identification, they output the online logs synthesized by xDR. However, the data analyzed by the first level is generally not detailed enough, and the rules cannot carry too much. Dimensions are not flexible, so DPI enhanced analysis is required to further enhance APP identification, web page classification, keyword analysis, knowledge base system, etc., so as to support various subsequent content analysis applications. How to translate and mark these extremely large and complicated data into information with deep semantic content, the existing technology only puts forward requirements for the data results that need to be analyzed, but the...

Claims

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