Semantic Web for the structured information

I have always been fascinated with the idea of orderliness. It naturally extends to the digital domain and the data to help me identify the way my information is organised. Beyond this, on a global scale, in order to achieve the optimal efficiency in the results obtained from search, I think semantic web is the way forward.

A little more dip into this is essential:

A Semantic Web may not only change how we think about searching for information online but who controls the information. Imagine every website not just being a wall of content but a graph of inter-related topics and ideas. There would not need to be a central spot where data is stored and controlled by a single entity, helping avoid some concerns about censorship and bias while simultaneously improving privacy and control over one’s data that they share…
While algorithms behind search engines are complex, they currently provide results for queries that have already been specifically answered. If you asked, “all songs before 1995 that failed domestically but were well-received worldwide,” you would be unlikely to get results because no one has yet answered that question. The data for such a query exists on the web; however, it is not readily available due to how search works. With a web built on data, obscure queries like this could turn up results by combining different datasets across several sites.

if you read between the lines, it applies to the empirical idea of medicine too. The data exists but the reason we don’t have a “breakthrough” in the AI is because of the mountains of unstructured information. The EMR’s are locked behind protocols and the wearable data is too voluminous and chaotic before it can be used to generate simple graphs and create meaningful actionable patterns. One way exists out of this- to use the structured data from the outset.

There are significant barriers to this as well and this was highlighted way back in 2001.

Cory Doctrow (the author) also calls people as “stupid” and “lazy”. I disagree- there’s no motivation to see the end result.

How can we take this in the oncology domain? There might be some grand unified theory lurking behind somewhere- we don’t know yet. There are tons of stochastic probabilities for any cancer cell and it depends completely on the chance as well as the in-vivo dynamics (which we don’t know). Therefore, it might be possible to characterize their behavior in some orderly schemaq with some caveats, of course.