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Semantics in action
The day after Stephen Hawking's death, I suggested to Flammarion, the French publisher of the famous cosmologist, to promote his books in a new way.

In preparing my presentation > http://bit.ly/Sway-FlammarionHawking, I lived as a feeling of enlightenment by reading this community's post from +Teodora Petkova: The luxury of not knowing what you are looking for > https://plus.google.com/u/0/+TeodoraPetkova/posts/Wd1sVpH13X1

This inspired me to create schemas and content that explained how the (semantic) web extended in the same way as the universe ...
And to make people understand the need and the importance of contributing to solving the "individual and collective cultural equation" with the help of this powerful active informational assets which feeds semantic search ...

But it doesn't stop there. Christiane Beinroth, a 46-year-old German lady asked me if I could help her with her thesis entitled: Study Regarding the Value of Cultural Intelligence for Efficient Usage of Data and Learning in Digital Transformation.

+David Amerland is quoted (starting on page 23) and my answers to questions and illustrations are mentioned under the pseudonym "H" (starting on page 43) > http://bit.ly/ThesisChristianeBeinroth

Dive in, as I think it helps each of us getting closer to figure out how to better interact with the rest of the world...

PS: I will miss Google+, but the connections I keep them ;-)
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Google's Dataset Search

h/t +Aaron Bradley
"It is probably clear by now that Dataset Search is only as good as the metadata that exists on the Web pages for datasets"

A new post today on the Google AI Blog provides Google's deepest dive yet into their recently-released Dataset Search.

A few things to note for the semantically-minded.

Connecting replicas of datasets

The post describes how Google attempts to determine when two datasets are replicas of one another.

Mechanisms include use of schema.org/sameAs, the same canonical dataset source, two datasets pointing to the same canonical page, or two datasets with an identical Digital Object Identifier (DOI).

Note that hyperlinking "to new, recommended DOI resolver" is queued up for schema.org 3.4 (http://bit.ly/2xI2GKp).

Reconciling to the Google Knowledge Graph

I found this section, where the post talks about Google trying "to reconcile information mentioned in the metadata fields with the items in the Knowledge Graph" particularly interesting.

TL;DR (for me at least) > When Google encounters an entity it tries to reconcile it with the Knowledge Graph.

Ranking of Dataset results

TL;DR here is that, for the time being, Google is relying on "on Google Web ranking." However, as "ranking datasets is different from ranking Web pages" they're planning on using additional signals for Dataset ranking.

Open data

"The decision to rely on open standards (schema.org, W3C DCAT, JSON-LD, etc.) for markup is intentional, as Dataset Search can only be as good as the open-data ecosystem that it supports."

The post goes onto say that " Google Dataset Search aims to support a strong open data ecosystem by encouraging" adoption of open metadata standards, further development of these standards, "[the] culture of citing data the way we cite research publications" and the development of tools to leverage dataset metadata.

Thanks!

Just noting that +Dan Brickley gets a well-deserved shout out in the acknowledgements here. :)

#datasetsearch #datasets #schemaorg #structureddata

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Structured Data Test - a simple thing
I've recently coded a Chrome extension, which runs with one single click the Google Structured Data Test for the current URL in your browser.
Click - and a new tab with test results open immediately. No longer copy+paste!
Happy testing - it is free! https://chrome.google.com/webstore/detail/structured-data-test-of-c/fhammclenapmofbejmoigeknclmnlafd

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Search Made Easier

Search is hard enough without over-complicating it.

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Complicating the Narratives

What if journalists covered controversial issues differently — based on how humans actually behave when they are polarized and suspicious?
Complicating the Narratives – The Whole Story
Complicating the Narratives – The Whole Story
thewholestory.solutionsjournalism.org

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Will robots destroy us all? 🤔🤔

Stephen Hawking once said, "I believe there is no deep difference between what can be achieved by a biological brain and what can be achieved by a computer. It, therefore, follows that computers can, in theory, emulate human intelligence—and exceed it."

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Data Analysis and Semantic Technologies

As the data we get in the wild, the unstructured bits of information that are collected become more and more important, there will be two things that will happen: A. Wherever possible, structured data will be employed as a means of speeding up the quality and value assessment process and B. Machine learning and AI agents will be deployed to turn data caught in the wild into some sort of structured data. The world is about to change drastically.
The Rise of Structured Data

You know that structured data is key when the U.S. Army is looking to deploy semantic technologies across its military platforms that will exchange data in real time to help it make better decisions. This is Google Semantic Search territory (https://amzn.to/2JziBPa) complete with guns, drones and intelligence agents. :)
David Amerland on Google
David Amerland on Google
posts.google.com
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