The concept of Personal Knowledge Graphs is relatively new but has its roots in the broader field of Knowledge Management Systems. These systems have evolved over the years, from simple note-taking apps to complex platforms that allow for the interlinking of information. The video mentions that the first personal knowledge graph system was designed by a German sociologist named Luman in the 1970s. He used a simple shoebox and pieces of paper to create a system of interlinked nodes, effectively creating the first Personal Knowledge Graph.
Personal Knowledge Graphs are not just for tech giants like Google or insurance companies that collect data to optimize their services. They are for individuals who want to take control of their data and information. The graphs allow for a more natural representation of knowledge, making it easier to find connections and derive new insights.
The first generation of tools focused on note-taking but lacked the ability to create relations between notes. Information was siloed in different apps, making it difficult to see the bigger picture.
The second generation, exemplified by tools like Roam Research, introduced the concept of links and backlinks. This allowed for the creation of a more interconnected graph of nodes, revolutionizing the way we think about note-taking and information management.
- Roam research
The third generation, which is still emerging, aims to leverage artificial intelligence to work directly with the graph. This will allow for more complex queries and the ability to derive new information from existing relations. We have a big hope for AI agent that will help to create and mantain a PKG for user from a endless data streams. We have a too technical tools for Knowledge Graphs
- RDF and Linked data
- Semantic data
All this is powerful instruments but to technical for user.
To turn a Obsidian to a Third generation tool we just need to make Links first class citizens and give posibility to create a metadata for links .