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Thinking about how digital texts fit into the bigger picture of us building richly interconnected informational spaces to embed knowledge in them, I ended up before a knowledge soup. Knowledge Representation and a Soup It is in The Challenge of Knowledge Soup where computer scientist John F. Sowa writes about knowledge and how difficult it is to represent

The Web and the Text are intricate networks of words, things, people and the relationships between them. By form, the text and the Web share a lot of common traits. More or less decentralized (no top-down hierarchies included), open to new elements and fostering the exchange of knowledge. By function, texts and the web are intriguingly similar too: both used to

Shown a typewriter and asked what it is, a kid responded: it helps you send messages to other people, leaving me wordless and a magic formula richer, when it comes to writing. Below are my notes, the major things I wanted to share from my experience as a content writer and my fascination as a Semantic Web explorer in the webinar How

Like any writing, web writing has its visible, quantifiable and relatively easy to categorize and assess part. This part is formed of blog posts, website copy, newsletters, various chunks of text for social media shares, infographics, presentations, product descriptions. Underneath this visible part lies another one, hidden from the surface. This intangible part cannot be observed directly

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