GB/T 45257-2025 in English
VALIDPress and publication—Knowledge services—Extraction and marking up of knowledge element
- Issued on:2025-02-28
- Implemented on:2025-06-01
- File Format:PDF
- Delivery:Via email within 5 business days
$335.00
| Standard No: | GB/T 45257-2025 |
| Document status: | VALID |
| Title in English: | Press and publication—Knowledge services—Extraction and marking up of knowledge element |
| Title in Chinese: | 新闻出版 知识服务 知识元提取与标引 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 5 business days |
| Issued on: | 2025-02-28 |
| Implemented on: | 2025-06-01 |
| ICS Classification: | 01.140.40-Publishing |
| Chinese Classification: | A19-Editing and Publication |
| Professional Classification: | GB-National Standard |
| Related Keywords: | publication knowledge services extraction
knowledge services knowledge element introduction standard background knowledge elements knowledge unit |
| Related Topics: | version knowledge
sample knowledge knowledge service knowledge extract |
《GB/T 45257-2025新闻出版 知识服务 知识元提取与标引》由TC527（全国新闻出版标准化技术委员会）归口，主管部门为国家新闻出版署（国家版权局）。
Introduction
Standard Background and Evolution
As an extension of the GB/T 38377-2019 series of standards, GB/T 45257-2025 systematically standardizes the technical requirements for the extraction and indexing of knowledge elements in the field of knowledge services for the first time. This standard fills the gap in structured knowledge processing in the field of digital publishing, and forms a supporting technical system with GB/T 45256 "Knowledge Ontology Construction Process".
Core Concept Analysis
| Terms | Definition | Example |
|---|---|---|
| Knowledge Element | The smallest knowledge unit that expresses a complete concept | "Radar", "Single Particle Effect" |
| Indexing | The process of using words/phrases to represent resource content | Annotating "MP3 encoding" in PDF documents |
| Morpheme | The smallest sound-meaning combination | "Wave", "Spectrum" |
Detailed Explanation of Extraction Rules
7.1.1 Extraction word type
Compound word processing example: "Active jammer" needs to be split into "active" (compound word) + "jammer" (simple word). According to clause 7.1.1 of the standard, they should be extracted separately and the relationship between them should be established.
7.2.3 Post-extraction processing
The standard requires semantic disambiguation of the extraction results. For example, "Java" needs to be distinguished as a programming language or a geographical concept according to the context. It is recommended to use pre-trained models such as BERT to assist manual verification.
Key points for indexing implementation
8.5.2 Extended indexing rules
When indexing "quantum computing", in addition to subject indexing, the following indexing should be used:
- Principle level: quantum superposition
- Technical level: superconducting quantum bit
- Application level: password cracking
10.2 Quality indicators
| Media type | Index density | Accuracy |
|---|---|---|
| Text | 2-10/1,000 words | ≥90% |
| Video | 1-2/5 minutes | ≥80% |
Implementation suggestions
1. Tool selection: It is recommended to use an indexing tool that supports XML output (such as Prolexis) to ensure that the file format requirements of 8.6.3 are met
2. Process optimization: Automatic extraction (6.1.2b) followed by manual review (9.2.4) can improve work efficiency by 30%
3. Quality control: Establish a three-level verification mechanism (single article → single volume → overall) to implement the quality requirements of 10.1
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