OMNITY.IO: CONNECTINNG KNOWLEDGE TOGETHER THROUGH THE TECHNOLOGY OF BLOCKCHAIN!


In the world we live in today, we see that knowledge now come in various forms,  for which several means of aggregation and duration have been developed. For example, libraries were created  with the publication of scrolls  for it to be held just like the ancient scroll-based library of Alexandria in ancient Egypt. It is amazing to know that the creation of libraries to house and protect these relatively rare items came with the advent of book publishing. This continuous evolution to this day, which is especially driven by machine learning and other Artificial Intelligence has inspired strategies for the discovery of knowledge. But sadly, Knowledge in any form has also been historically hard to guard and access. The Exponential Growth of Knowledge has resulted in increasing disconnection and fragmentation, and it has become impossible to stay current in any knowledge domain and this has resulted to the loss of  knowledge discovery. A platform has been created to solve or tackle these problems. Have you heard of OMNITY?

Omnity is a self-assembling, decentralized knowledge curation system that interconnects private document repositories at all scales. The Semantic interconnections are made both within internal document sets and with external high-quality, third-party vetted public data from throughout the globe. Omnity is a platform that was created to fuse several disciplines and technologies from natural language processing and graph mathematics to machine learning in order to make a highly scalable knowledge duration and discovery system.
 Summaries of these approaches are described below:



Taken together, these technologies have enabled Omnity to create the semantic signature that is represented in the block payload. Omnity has developed a system that enables the self-assembly of documents that is driven through an iterative fusion  of natural language processing, machine learning, linguistic blockchain, and graph-based mathematics, and where document quality control and hyper-decentralized document storage are enabled by Blockchain.
The primary contribution of Omnity has been the development of an integrated system that enables the self-assembly of documents that is driven through an iterative fusion of natural language processing, machine learning, and graph-based mathematics, and where document quality control and hyper-decentralized document storage are enabled by Blockchain.



Omnity rapidly extracts otherwise hidden and high-value connections from the text within documents. First, Omnity mathematically articulates the structure of ideas and insights embedded within text, detecting then interconnecting these ideas from document to document.  It is now obvious that Omnity is collecting, connecting, and protecting the world’s public documents across language, time, place, and document format, to form a globally cohesive, semantically-inter-connected public commons of high-quality, third-party vetted documents that no Government or natural disaster could destroy.

Omnity has spent the last four years developing, optimizing, and commercializing a means to inter-connect documents with shared meaning even when those documents do not reference one another. In particular, Omnity does not use meta-data for document interconnection, instead making connections between pairs of documents through their rare, shared words. Leveraging the structure of the English language, Omnity fuses two laws of linguistics.  It is wonderful  to know that OMNITY plans to develop integration frameworks for Dropbox, Microsoft SharePoint, and other popular document storage systems.

The big question is: What is the best way to connect documents?

Go for OMNITY.IO today and enjoy its benefits!!

For more information about OMNITY, please visit the following:
WEBSITE: https://www.omnity.io/
WHITEPAPER: https://www.omnity.io/static/ico/Omnity-Whitepaper.pdf
My BitcoinTalk Profile Link: https://bitcointalk.org/index.php?action=profile;u=1759573
Authored by fireman2001



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