OMNITY is a search engine for scientists, students, researchers, and many other interested people. Very often students and scientists need the same information, the search does not lead to the desired result, because popular search engines do not display this information on the first page when issuing the information. Often, this leads to the fact that people have to make extra efforts, to spend their own time and money to find the necessary information.
Omnity is based on fundamental achievements in search technology for semantic references in which we create the landscapes of relationships based on the value derived from the semantic signatures of the entire document. Thus, the knowledge contained in the entire document can be deeply connected only through common ideas.
Omnity is based on fundamental achievements in search technology for semantic references in which we create the landscapes of relationships based on the value derived from the semantic signatures of the entire document. Thus, the knowledge contained in the entire document can be deeply connected only through common ideas.
Intellectual property issues Omnity
Omnity uses the strategy four times to protect its intellectual property based on a combination of proprietary computer codes, trade secrets, trademarks, and patents. For the computer code, Omnity has developed more than 400,000 lines of code in Haskell, Java, Python, Ruby, and JavaScript. For commercial secrecy, omnity has developed several linguistic filters, and the stages of natural language processing allow cross-comparisons with high semantics and minimal inter-domain exchange. Knowledge. The brand includes "Omnity", the Omnity logo, the "Knowledge connected" Omnity line. Omnity also contains Omnity.IO and Omnity domain name.
As the ocean of ever-growing and increasingly fragmented information grows, Omnity allows searchers to quickly notice related documents, even though these documents do not directly link or reference at least one other.
This accelerates the invention of an otherwise hidden, high-cost model of interaction among and between fields of information as diverse as science, medicine, engineering, law, and finance.
As the ocean of ever-growing and increasingly fragmented information grows, Omnity allows searchers to quickly notice related documents, even though these documents do not directly link or reference at least one other.
This accelerates the invention of an otherwise hidden, high-cost model of interaction among and between fields of information as diverse as science, medicine, engineering, law, and finance.
Omnity relies on elementary achievements in the search technology of associative linguistics, through which we tend to produce landscapes based on the meaning of the relations stemming from the linguistics of the signature of whole documents. during this time the information contained between the whole documents are deeply interrelated, completely through the general ideas.
This does not allow you to stay current in any area, abundant less than the boundary between 2 or additional completely different fields wherever most innovation takes place. just the last 5 years, the most scientific and engineering areas have done on the dimensions of 100, 000 documents. Reading these one employee per hour for feeding will take fifty years, an expert lifetime. Comparing these documents within 3 minutes of the comparison will take more than 9,000 years almost the length of the recorded human civilization.
Omnity allows the analysis of the development of specialists and general fields in the immediate and prompt sight of the hidden forms of the relationship of the relevant documents. whether or not for a basic analysis or prospective development of a qualified response to promptly and consistently large var queries.
Omnity the findings are shared, which means between the document from the police investigating similar models of common rare words (semantic signatures) - a mathematical approach that goes beyond the limitations of the reference based on the mainly document detection is made each of the publication dates of the static mounted content of rare words in this document, as compared with the time-dependent context of the connected result around this document. Omnity uses the keyword to get the result of analyzing the employment of the context and the phrase. It could have been on the market as a quest tool for teachers and company enterprises. This, however, do this? After you start hunting in omnity, you get not only documents directly related to the search terms, but the collection of medium documents is called "share the dictionary with the main document." A drawing showing, however, these area measure documents bound will won't go results.
In addition, omnity forms are associated in nurses with an updated linguistic signature for each document based mainly on:
This does not allow you to stay current in any area, abundant less than the boundary between 2 or additional completely different fields wherever most innovation takes place. just the last 5 years, the most scientific and engineering areas have done on the dimensions of 100, 000 documents. Reading these one employee per hour for feeding will take fifty years, an expert lifetime. Comparing these documents within 3 minutes of the comparison will take more than 9,000 years almost the length of the recorded human civilization.
Omnity allows the analysis of the development of specialists and general fields in the immediate and prompt sight of the hidden forms of the relationship of the relevant documents. whether or not for a basic analysis or prospective development of a qualified response to promptly and consistently large var queries.
Omnity the findings are shared, which means between the document from the police investigating similar models of common rare words (semantic signatures) - a mathematical approach that goes beyond the limitations of the reference based on the mainly document detection is made each of the publication dates of the static mounted content of rare words in this document, as compared with the time-dependent context of the connected result around this document. Omnity uses the keyword to get the result of analyzing the employment of the context and the phrase. It could have been on the market as a quest tool for teachers and company enterprises. This, however, do this? After you start hunting in omnity, you get not only documents directly related to the search terms, but the collection of medium documents is called "share the dictionary with the main document." A drawing showing, however, these area measure documents bound will won't go results.
In addition, omnity forms are associated in nurses with an updated linguistic signature for each document based mainly on:
- Mathematical signature of the distribution of rare words in the document itself using the process language.
- Develops a connecting form of a subgraph of information, within which the document issue attracts the subsequent document within the assistant nursing representation of the graph, the investment graph is arithmetic and therefore the linguistics and graphical comparison Area measure question answer documents for employment machine learning. In general, the omnity is grouping, connecting and protecting the word "s public documents through language, time, place and document format to make globally consistent semantically interconnected public general qualities, a third-party verified document that is not government or a disaster can destroy.
Conclusions
One of the main reasons to draw attention to the project is the availability of a ready-made basic product, which is much superior in its functionality to MVP. And also that in the course of its development the Omnity project attracted a diverse group of experts, including two Nobel laureates, was awarded five grants from the American National Science Foundation, in 2016 Omnity was also the winner of the US Patent Office. All this predicts great success for the project!
For more information about the project and the opportunities to participate, go to the links below:
Website: https://www.omnity.io
White Paper: https://www.omnity.io/static/ico/whitepaper.pdf
Linkedin: https://www.linkedin.com/company/omnity/
Twitter: https://twitter.com/omnity_io
Facebook: https://www.facebook.com/OmnitySearch
Telegram: https://t.me/omnityio
White Paper: https://www.omnity.io/static/ico/whitepaper.pdf
Linkedin: https://www.linkedin.com/company/omnity/
Twitter: https://twitter.com/omnity_io
Facebook: https://www.facebook.com/OmnitySearch
Telegram: https://t.me/omnityio
Authors: Loksyun
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