A three-step solution for building a structured knowledge base
It is easy to fall into chaos after saving a large amount of web content. Supermemory achieves systematic management through the following methods:
- Categorized Labeling System: Mandatory to add at least 1-2 tags (e.g. "Python Tutorial", "Machine Learning") when saving content, and batch add/modify tags on the web-based knowledge base page.
- AI Intelligent Categorization: The system automatically analyzes content topics, suggests relevant tags, and uses the "Smart Categorization" function to batch process historical uncategorized content.
- Three-tier folder structure: It is recommended to create hierarchies by "Domain-Topic-Project" (e.g. Programming/Python/Data Visualization) and organize the content by dragging and dropping it!
Advanced Tips: Combine the Notes function to star important content and create "Featured" categories to store high-value information.
This answer comes from the articleSupermemory: Importing bookmarks and web content to build a personal knowledge baseThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of saving cluttered web content that is difficult to retrieve?
