Or you may call it Smart or Open Data!
Hello Africa! How are you doing?
The Irony In Saying All You Need Is Money
When I tell most people how exciting the Semantic Web and linked Open Data can be, and that we would be more or less teaching computers and other machines to understand us, they are typically unimpressed.
Think about it......"
(and I am now talking to YOU, the reader, and anyone you care to share this information with)
If you start to pay active attention to the Semantic Web, or Linked Open Data or Machine Learning and so forth, from right now; in 5 years time, you would have most likely mastered at least one of these Semantic Web or Smart Data related skills.
And while, I cannot promise that you'll be as rich as those few Africans that are mentioned in Fortune Magazine by then, I can assure you that you would be much better off than you are today; Regardless of whether African rulers remain corrupt and vision-less kleptomaniacs or not.
But most of all, you would possess skills that will get increasingly significant as time goes on, and as Africa continues to develop at these current amazing rates of growth.
This is irreversible wealth, in my humble opinion; more reliable than hoping for some miraculous contract from some government official that happens to know your cousin's mother-in-law.
What Is The Semantic Web?
Mind you, these days, the Semantic Web and its surrounding technologies are often referred to as Smart Data – perhaps mainly because it has transcended The Web.
But since they say life started from the sea, I might as well help you to begin your journey from there......where it all started:
The idea is that machines can do much more with data than humans.
Trust is the final by-product of all this.
Here's the thing, all of this which we can calculate in microseconds in most given situations, are also machine-calculable in an algorithmic trust score that can determine the trustworthiness of a source of data and, by inference, the veracity of the data itself.
- David Amerland
Not A ReplacementOne common misconception that could kill an average person’s interest in the Semantic Web is the notion that it is going to be an advanced replacement for the present World Wide Web.
I would imagine that you even secretly wish that this current Web you are used to would become more simple.
And that is exactly what the Semantic Web or Smart Data will do for the average user: Make things SIMPLE.
Think of it as the same Web, only grown up; and is now influencing other areas of life beyond The Web (i.e. The Internet of Things, cognitive computing, image/object recognition, etc).
This means greatly improved collaboration between humans and machines in the future.
But You Don't Want To Be Like A Machine!!!
This is not about you or anyone else being compelled to understand the technical nuances of the World Wide Web; Nor are you expected to know code. (even though this will not hurt you one bit!)
3. Food Production & Distribution (much hunger persists)
Kenya even has some interesting stories on this.
And yet, this is just the tip of the iceberg.
We would go out of our ways to invest lots of our parents money on many years of traditional education, but we are too lazy to learn online for free.
Here is a video I love to share, that gives a glimpse of what The traditional Web could do. Then consider what the evolved Web would be able to do as it gets smarter!
I tried my best to simplify them for a non-tech audience in that post, because I remember how tedious it felt the first time I heard terms like Ontologies and Taxonomies.
He does not purposefully teach about the Semantic Web, but I included him because his deep knowledge of the web in general is incredible. That's why I always include him. :-) (Sir Johns is on Google Plus)
Follow him today to keep up with his 5-part series on some rich linked data instruction.
Let me just say that you need to circle him on Google+ as well. Right now!
As I leave you with his quote on Linked Data and its technologies
(the one that really got me to sit up):
|The Semantic Web accelerates machine learning thanks to Tim Berners-Lee's ingenious RDF/URI vision.
Finally, if you are an artist or social scientist like myself, and you are wondering why you should be taking this journey, then please take my advice:
......the computer jargon and the code noise will quickly wear-off, and you will soon begin to see how much more of our world is in here.
When I first joined Google Plus, and started following math and computer science experts, I felt like an "English-man in New York".
But these days, I honestly feel as if these computer science guys are mere intruders in my home.