Personal knowledge management

PKM and knowledge systems, knowledge structuring

Source: ChatGPT


Personal Knowledge Management (PKM) is the process of actively collecting, organizing, maintaining, and using an individual's knowledge for their personal and professional growth. The goal of PKM is to help individuals become more effective in their roles by having easy access to the information they need, when they need it.

There are several key practices that are commonly used in PKM, including:

  1. Collecting information: This involves actively seeking out new information that is relevant to an individual's personal and professional goals.

  2. Organizing information: This involves putting the collected information into a structure that makes it easy to find and use later on. This can include creating folders, tagging, and categorizing information.

  3. Maintaining information: This involves regularly reviewing and updating the information to ensure that it is accurate and current.

  4. Using information: This involves applying the collected, organized, and maintained information to achieve personal and professional goals.

Using AI in PKM

There are several ways that Artificial Intelligence (AI) can be used to enhance Personal Knowledge Management (PKM) practices:

  1. Text Summarization: AI-based text summarization tools can help individuals to quickly understand the main points of long documents, articles or emails, allowing them to focus on the most relevant information.

  2. Content Curation: AI-based content curation tools can recommend relevant articles, videos, and other content based on an individual's interests and reading history, making it easier for individuals to discover new information.

  3. Search and Retrieval: AI-based search and retrieval tools can help individuals to quickly find specific information in their personal knowledge base, even if they don't remember where they saved it.

  4. Automatic Tagging: AI-based automatic tagging tools can help individuals to automatically categorize and tag their information, making it easier to find later on.

  5. Predictive Text Input: AI-based predictive text input tools can help individuals to quickly find and insert the information they need, reducing the time and effort required to find and use the information.

  6. Text-to-Speech and Speech-to-Text: These AI-based tools can help individuals to quickly convert written text to spoken word and vice-versa, making it easier to consume and create content.

It's important to note that while AI can help to enhance PKM practices, it shouldn't replace the human aspect of it. AI tools can automate certain tasks and make information retrieval easier, but the interpretation and personalization of the information must still be done by the individual. Additionally, AI models need to be trained with a large amount of data, so they can perform their tasks, and they can also have biases, so it's important to be aware of that.

Knowledge base

[[Системы Знаний.pdf]]