It is impossible to stay current in any field, much less the boundaries between two or more different fields where most innovation occurs. Just the last five years of most scientific and engineering fields have produced on the scale of 100,000 documents. Reading these one an hour would take 50 years, a professional life time. Comparison of these documents at three minute per comparison would take more than 9000 years nearly the length of recorded human civilization.
Omnity allows research and development professionals in all fields to rapidly and efficiently detect hidden patterns of relevant document interconnections. Whether for basic research or advanced product development professional to efficiently and systematically answer a wide range of questions.
Omnity finds shared meaning between document by detecting similar patterns of shared rare words (semantic signatures) – a mathematical approach that transcends, the limitations of the link based document discovery is formed both from the static publication date fixed content of the rare words in that document compared to the time-dependent evolving context of related result around that document. Omnity uses key word to generate research result by the use of context and phrase. This is been marketed as a research tool for academics and corporate enterprises. How is this done? When you initiate a search in omnity, you get not only documents directly associated with your search terms, but a set of secondary document which is termed as “share vocabulary with a primary document”. A graphic which shows how those documents are connected can be used to explore the results.
Furthermore, omnity forms an updatable semantic signature for each document based on:
• The mathematical signature of the statistical distribution of the rare world in a document by use of natural language processing
• The evolving connective shape of the sub-graph of knowledge in which a query document attracts resulting document within an insight graph, leveraging graph mathematics and the semantic and graphical comparison of the query are response documents by the use of machine learning.
In summary, omnity is collecting, connecting and protecting the word”s public documents across language, time, place and document format to form a globally cohesive semantically interconnected public common of high quality , third party vetted document that no government or natural disaster could destroy.
WHO ARE THE BRAIN BEHIND OMNITY
Darby magill is the director of engineering and co-founder of omnity. With expertise in building cloud-scale services and distributed systems. She was a senior software engineer at Franklin-Templeton investment.
Narayan Narvekar is Chief System Architect for Omnity. He is a full stack engineer proficient in building multi-tenant distributed SaaS products.
Florent Bouquet is responsible for front-end web development that includes beautiful document-driven visualizations that allow users to visualize communities of related documents across time, geography, company, community, and AI/ML-based document classification.
This is a great opportunity for everyone of us to participate in this great professional research services platform hurry now , time wait for no man.
For more information visit
https://www.omnity.io/
https://www.omnity.io/static/ico/Omnity-Whitepaper.pdf
https://web.facebook.com/OmnitySearch/?_rdc=1&_rdr
https://twitter.com/omnity_io
https://t.me/omnityio
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