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I don’t follow pharma news closely, but one thing semantic technology excels at is bridging gaps between sites with related information. Instead of links operating at the page level, semantics allow connections to form at the data level.

For instance, if you’re reading an interesting article and a specific topic or quote stands out, the site could trivially suggest links to related articles, even from other periodicals. Semantic connections are also highly flexible, making it possible to uncover surprising links—like connections between trends in pharma and the NBA.

The original post's main idea was about building a personal semantic web that works with your own data. This could enable powerful tools, like universal search. Imagine being able to search, "Find all documents about medical science I’ve read while at the library," and getting an accurate result. The potential for personalized knowledge management is immense.


The Semantic Web has struggled to gain traction, but what if its foundation started small—on personal servers? A recent post explores the idea of using an RDF-like system to create a personal semantic web, enabling individuals to structure and link their own data. This approach could provide the foundation for an eventual decentralized, world-wide semantic web.

Could personal servers be the key to realizing the Semantic Web's potential? How might this shift the balance of power in a centralized internet? Curious to hear the HN community's thoughts on this concept


Self-hosters run into all kinds of unexpected hurdles, but it’s always inspiring to see how they overcome them. This blog post dives into one such problem: working around an ISP-imposed block on port 80. While frustrating, these restrictions spark creative solutions, from tunneling to proxying, that highlight the ingenuity of the self-hosting community. It’s disappointing that ISPs continue to implement these artificial money-making schemes, but posts like this show research and exploration can get around seemingly insurmountable challenges.


Agreed, what was obviously missing from this person's experience was an opportunity to guide deployment in ways that work well for their understanding of the workflow. I think companies often fail to explore what actually happens on the ground of their organizations and make assumptions that are not accurate. AI could be a huge help to nurses but it takes conversations and direct insight during development to get it right.


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