Text, Data, and Freedom

Text, Data, and Freedom

A framework for putting it all together on your site from Teodora Petkova 

#data   #text  

Originally shared by Teodora Petkova

Text and Data: A Love Story
Link by link we build paths of understanding

Rachel Lovinger beautifully describes metadata as a "love note to the future". No need for complex techy explanations, just the very essence of a tool or a technology: how does it make the web a richer place.

Few months ago, I got my love note thanks to a tweet I shared about Linked Data. The love note :) was from Ontotext and Milena Yankova. Milena had found me around the web and decided to contact me because she thought it would be really cool if I could help with writing content that "speaks in human language, not to the Russian researchers" [these are her words :)]. 

So here I am today, sharing my first post from a series we will be collaboratively developing.The series will try to talk about semantic technologies in an accessible, easy-to-digest and love :) way. 

This first post is about interconnectedness and about how I saw words turning into data pieces and into something like roads themselves thus allowing for insights and knowledge to travel farther.

What I wrote and thought here would have never been possible if it weren't for the following people. Attention, a list of awesomeness coming right in front of you :) 

David Amerland  "What is in the empty space between nods (objects) and edges (relationships)? The potentiality of connections not yet made and objects not yet discovered."
Aaron Bradley " linked identities loom large when it comes to semantic search addressing the big data problem of veracity"
Jarno van Driel "As for the future, I don't expect we'll need this type of markup forever, nor even the semantic web for that matter - It's just a phase in the evolution of the web. The whole intend behind it is that machines become better at understanding us humans in the way we communicate and store our data"
Amit Sheth "

Computing has been all about translating a rather complex and messy real-world into well structured  (if possible mathematically or statically characterized), simplified computational representation. So use of simpler data representation such as links, trees, hierarchies, horn clauses/description logics, etc was in vogue. Recently, however, we are seeing significant increase in our capability to model more of real world complexity and have the ability to meet demanding computing power needs. This has meant move towards graphs, probabilistic representations, layered learning and ability to factor in many parameters/features/attributes (eg "deep learning").  So there is a reason to be optimistic about recognizing and computing about your wonderful observation about how the complexity of relationships"
Kingsley Idehen "Why is Data Important? Data is the basis of Information, Knowledge, and Wisdom.
What is Data? Data is how we express Observation in reusable form. "
Bernard Vatant (not on Google plus anymore, unfortunately) 
"The story of the Web is just the story of language, continued by other means"
Brian Sletten "Data integration at scale isn't solely a technical problem; it's also a social problem. To exchange information, we must agree on what it means — again, easy in small, point-to-point interactions but unimaginably complex at higher levels of participation. We run into limitations of culture, linguistics, psychology, perception, and politics."

Thank you dear wonderful people and please excuse me for massively pinging you

p.s. How cool is the fact to connect with so many looming identities through one and the same fascination for text, data and freedom :)

http://ontotext.com/text-data-and-the-roman-roads-semantic-enrichment/