Analysis of information sources in references of the Wikipedia article "Obsidian (software)" in English language version.
Today, we are familiar with interlinked pockets of information in the form of hyperlinks on webpages such as Wikipedia. However, in the context of personal knowledge systems, the last year has seen an explosion of 'Personal Knowledge Graph (PKG)' tools such as 'Roam Research', 'Obsidian', and 'Notion', which digitise and personalise this powerful concept. Using bidirectional links, these tools connect notes in ways that sit between traditional word processors and more advanced databases with graphical functions. PKGs represent an evolution in knowledge aggregation and assimilation through the ability to 'visualise' personal learning in graphical form. Rather than our hard-won notes being lost in personal silos of projects, folders, and just the passing of time, such graphs allow researchers to literally pan out and visualise their knowledge as a network, revealing nascent and serendipitous connections between percolating notes of ideas, insights, concepts, quotes, and questions.
However, there are some recent entries into the PKM space that might just fit the full bill. Both Obsidian and Roam, which will be discussed later, are relatively new applications that get us a little closer to that perfect PKM solution, and they add a new wrinkle. They are both conversant in linked data and can be used as networks of linked information that live on your computer or, with a few tweaks, on a shared server or other shareable drive.
Today, we are familiar with interlinked pockets of information in the form of hyperlinks on webpages such as Wikipedia. However, in the context of personal knowledge systems, the last year has seen an explosion of 'Personal Knowledge Graph (PKG)' tools such as 'Roam Research', 'Obsidian', and 'Notion', which digitise and personalise this powerful concept. Using bidirectional links, these tools connect notes in ways that sit between traditional word processors and more advanced databases with graphical functions. PKGs represent an evolution in knowledge aggregation and assimilation through the ability to 'visualise' personal learning in graphical form. Rather than our hard-won notes being lost in personal silos of projects, folders, and just the passing of time, such graphs allow researchers to literally pan out and visualise their knowledge as a network, revealing nascent and serendipitous connections between percolating notes of ideas, insights, concepts, quotes, and questions.
Today, we are familiar with interlinked pockets of information in the form of hyperlinks on webpages such as Wikipedia. However, in the context of personal knowledge systems, the last year has seen an explosion of 'Personal Knowledge Graph (PKG)' tools such as 'Roam Research', 'Obsidian', and 'Notion', which digitise and personalise this powerful concept. Using bidirectional links, these tools connect notes in ways that sit between traditional word processors and more advanced databases with graphical functions. PKGs represent an evolution in knowledge aggregation and assimilation through the ability to 'visualise' personal learning in graphical form. Rather than our hard-won notes being lost in personal silos of projects, folders, and just the passing of time, such graphs allow researchers to literally pan out and visualise their knowledge as a network, revealing nascent and serendipitous connections between percolating notes of ideas, insights, concepts, quotes, and questions.
Today, we are familiar with interlinked pockets of information in the form of hyperlinks on webpages such as Wikipedia. However, in the context of personal knowledge systems, the last year has seen an explosion of 'Personal Knowledge Graph (PKG)' tools such as 'Roam Research', 'Obsidian', and 'Notion', which digitise and personalise this powerful concept. Using bidirectional links, these tools connect notes in ways that sit between traditional word processors and more advanced databases with graphical functions. PKGs represent an evolution in knowledge aggregation and assimilation through the ability to 'visualise' personal learning in graphical form. Rather than our hard-won notes being lost in personal silos of projects, folders, and just the passing of time, such graphs allow researchers to literally pan out and visualise their knowledge as a network, revealing nascent and serendipitous connections between percolating notes of ideas, insights, concepts, quotes, and questions.
