GB/T 38382-2019 in English
VALIDPress and publication—Knowledge services—Guidelines for knowledge resource development and knowledge services
- Issued on:2019-12-31
- Implemented on:2020-07-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$214.00
| Standard No: | GB/T 38382-2019 |
| Document status: | VALID |
| Title in English: | Press and publication—Knowledge services—Guidelines for knowledge resource development and knowledge services |
| Title in Chinese: | 新闻出版 知识服务 知识资源建设与服务工作指南 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 1~3 business days |
| Issued on: | 2019-12-31 |
| Implemented on: | 2020-07-01 |
| ICS Classification: | 01.140.40-Publishing |
| Chinese Classification: | A19-Editing and Publication |
| Professional Classification: | GB-National Standard |
| Related Topics: | Test Equipment and Services
knowledge meter version knowledge Guidelines and Consensus knowledge outside Knowledge Hall sample knowledge Chemistry Knowledge beyond knowledge knowledge service knowledge service chemical knowledge knowledge chemical knowledge new year Test Knowledge 6 GBT38382 Server Resource Metrics Standard |
《GB/T 38382-2019新闻出版 知识服务 知识资源建设与服务工作指南》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
Overview of GB/T 38382—2019 Standard Interpretation
| Standard Dimensions | Knowledge Resource Construction | Knowledge Services |
|---|---|---|
| Basic Conditions | Adequate investment in human resources, content resources, software and hardware conditions, etc. | Clear positioning of knowledge products and outstanding technical application capabilities |
| Construction Process | Resource preparation, organization, association, calculation and knowledge graph construction | Model planning, resource release, operation maintenance and evaluation feedback |
Analysis of the Evolution of Knowledge Service Technology
Background: With the rapid development of artificial intelligence and big data technology, knowledge services are evolving from basic services to intelligent and personalized services. The traditional news and publishing industry needs to achieve transformation and upgrading through technological innovation.
Case: A large publishing house successfully realized the knowledge association and deep semantic retrieval of e-books by introducing knowledge computing and knowledge graph technology, significantly improving the user experience.
Implementation Suggestions
- Organizational Guarantee: Establish a leading group for knowledge service promotion and formulate a long-term development plan.
- Technology Investment: Increase the research and development of core technologies such as knowledge mining and knowledge maps.
- Market Expansion: Explore diversified profit models, such as B2C, B2B, O2O, etc.
Explanation of professional terms
Knowledge resource construction
Refers to the process of building a knowledge system that can be used for knowledge services through content processing, organization and association.
Knowledge graph
The technology of representing the relationship between knowledge in a structured way is widely used in intelligent recommendation and decision support systems.

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