Omnity is a unique search engine working towards finding summarized format of the document provided by the user and related documents from a library of millions. Unlike Google, Omnity is using “semantic mapping” for searching purpose. The thing which makes Omnity unique is that it compare documents on the basis of rare words such as topic, experiment type, equipment used.
For public usage Omnity has made the database very simple and free. People can browse different papers published including U.S. patents, SEC filings, PubMed papers, clinical trials, Library of Congress collections and more.
The system scans the documents uploaded by the people and looks for the least common words in the document. After finding these words it looks into its own library for the relevant words or phrases and also suggests relevant documents.
Omnity supports more than hundreds of languages. Therefore people can search for different research papers or files in Chinese, Russian, Arabic, etc. Omnity also works cross-lingually and searches relevant results. The search engine knows well that a phrase in French will be same in English even if it doesn’t get the subtitles of the translation process.
The public website launched is having 15 terabytes of the database at present but the tool can also be deployed internally in a company helping them to track millions of documents. Since it is fully open and free, students and researchers will find it very useful.