Creating a knowledge structure requires clear organization of information. Here, it is important to combine tags into groups, especially as their number increases, when navigation can become more complex. Let's consider how you can optimally organize information and knowledge using groups, tags, and experts.
1. Groups as a basis for projects
Groups help combine tags to organize specific projects or topics. For example, if you are working on a project in the field of psychology, tags such as "psychology", "cognitive processes", "emotions" can be grouped into a single category. This allows you to quickly navigate the topic and return to materials without chaotic searching through dozens of disparate tags.
2. Combining tags to simplify and optimize navigation
When the number of tags grows, synonyms and tags with similar meanings appear, such as "training", "education", "self-development". Groups that group smaller subcategories are a useful tool for eliminating unnecessary granularity. This helps you find what you need faster, without getting distracted by closely related but smaller tags.
3. Context and Topic Relationships
Grouping tags helps you create topical relationships, which is especially useful when developing new ideas or learning about a subject. When tags are grouped, the related context is available in one click, and the project is enriched by an integrated approach. For example, if a group contains tags related to neuroscience, you can simultaneously access links to psychology or medicine, which adds value to learning about the topic.
4. Finding Relationships Between Groups via Tags
- The intersection of tags in different groups helps you assess which projects or topics are closest to each other. This can be visualized as a graph, where groups are linked based on common tags, forming a kind of social graph of knowledge.
- This way, you can not only understand which ideas or topics intersect, but also identify experts in these areas. Such a graph provides structured access to experts, facilitating interaction and joint development of knowledge.
Ultimately, building a system through groups, tags and experts makes it more structured, navigation is fast, and ideas are connected, which ensures efficient use of information and simplifies the process of working with extensive data.
