The mission of the developers of Aleetheia is to organize the written information of mankind in a comprehensive way.
Does everybody know how to search more efficiently?
Aleetheia is a disruptive, intelligent search solution for non-themed text datasets. Aleetheia provides linguistically relevant results simply in a matter of seconds as no other search method. Based on a new general mathematical model of natural languages Aleetheia search is simple, fast and language independent. Aleetheia can be easily integrated via standard interfaces. Aleetheia uses 3 technological features: similarity search, keyword search, associative search.
Fast literature search with high-precision and recall based on text similarity
Aleetheia similarity search tool processes the contents of your text and finds documents with similar content. As an example currently we can search in the PubMed database of 25 million abstracts: a 5-15 sentence long text is processed and matched with abstracts of similar content in a matter of seconds. The results are listed in order of relevance and grouped by the subject of the abstracts. It also works in unstructured datasets.
Aleetheia keyword search tool provides semantically related results in order of relevance i.e. from most frequently appearing context to unusual context. As an example searching for the word “Egypt” in English language literature the resulting hits are sorted in order of relevance around the subject of Egypt starting with books on Egyptology and ending with “ The Last of the Mohicans”, a Native American adventure novel of James Fenimore Cooper where Egypt is mentioned once in Chapter 5.
Results based on context similarity originating from keyword association
Our Aleetheia associative search tool provides results based on context similarity originating from keyword association. It analyses the keyword and identifies the related content and gives back hits which might not even contain the keyword but are relevant in context. As an example searching for “e-liquid”, the filler for e-cigarettes, the first results in Google Scholar is about liquid egg, irrelevant to our subject, while using Aleetheia you will get hits of e-cigarette refill liquid, cartridges, etc.
Aleetheia similarity search tool processes the contents of your text and finds documents with similar content. As an example currently we can search in the PubMed database of 25 million abstracts: a 5-15 sentence long text is processed and matched with abstracts of similar content in a matter of seconds. The results are listed in order of relevance and grouped by the subject of the abstracts. It also works in unstructured datasets.
Aleetheia keyword search tool provides semantically related results in order of relevance i.e. from most frequently appearing context to unusual context. As an example searching for the word “Egypt” in English language literature the resulting hits are sorted in order of relevance around the subject of Egypt starting with books on Egyptology and ending with “ The Last of the Mohicans”, a Native American adventure novel of James Fenimore Cooper where Egypt is mentioned once in Chapter 5.
Our Aleetheia associative search tool provides results based on context similarity originating from keyword association. It analyses the keyword and identifies the related content and gives back hits which might not even contain the keyword but are relevant in context. As an example searching for “e-liquid”, the filler for e-cigarettes, the first results in Google Scholar is about liquid egg, irrelevant to our subject, while using Aleetheia you will get hits of e-cigarette refill liquid, cartridges, etc.
The invention relies upon our discovery of a new general mathematical model of natural languages. While our invention is simple, fast and works in large-scale – structured or unstructured – text datasets, it requires less calculation than competing technologies and it provides a language independent solution reducing the need for human intervention.
Aleetheia - as a simple, fast, language independent, contextually proper search solution - can facilitate the work in a wide range of areas where big databases used eg. scientific, publishing, university databases or any other public or private databases.