The Hidden Treasures of Semantic Fingerprinting

The futurists of the world are besotted by the  science that simulates the engagement , decision and the discovery process of the human brain  -in other words Artificial Intelligence(AI) or Cognitive Sciences. Cognitive systems quickly identify patterns similar to a way our brain identifies situations and responds to it. Within AI , there are a number of different technologies and they lie at different points in the curve of adoption with virtual assistants and robo-advisors riding the crest of adoption. This post talks about the merits of the lesser known yet immensely intriguing Semantic Technology  .

Semantic Technology , as Forrester predicts is still a good  5 to 10 years away from mainstream adoption but some companies such as the Vienna based Cortical IO and  Cambridge Semantics  are few of those who are braving the first wave.

Pic Source : Forbes

Semantic Maps – Vocabulary Building Tools

Semantic Maps or Networks have been around for more than a decade where words are understood under the context they are used , very similar to how the human brain understands and processes words, phrases or a language. This technique is used as a teaching method for children learning a language  and has been seen as a very powerful vocabulary building tool.

The same terminology takes on a far more complex computing context .Semantic Mapping can be used for dimensionality reduction of a set of multi-dimensional vectors to retain main data characteristics. The original properties are clustered to generate an extracted feature. This technology has typically been explored for text mining and information retrieval.


Semantic Fingerprinting

Semantic fingerprinting is a new method whose manner of processing text is modeled on that of the human neocortex . Semantic fingerprinting has the potential to be more powerful in document comparisons than are word list-based analyses. The leading proponent of semantic fingerprinting is Cortical ( technique to identify similarities , identify context and also arrive conclusions.

Since semantics are heavily dependent on context , the fingerprint for ‘Apple’ would have strong connections with the computer brand.    Words, Sentences and whole texts amounting to terabytes can be compared against each other.

Source : Cortical.IO

Big Data + Semantics = Endless Possibilities

Big Data Semantics is where the technology is applied to reduce the stream of unstructured data to understand , predict , categorize or sort just as much as one would with any form of data once reduced to an understandable , identifiable form.

The system ingests data in any unstructured form – emails , faxes , documents , sms , social media or data from internal systems and then runs it through a semantic engine.   The semantic engine generates smart binary vectors with minimal memory footprint represented in boolean. This helps to compare aggregated or atomic representations of words .

Some ways in which it is being leveraged are seen in the table below

Semantic Table

With the rise of  AI startups receiving funding across the globe ,  disruptive technology and their use cases are only to rise . We can only wait to watch the treasures it unlocks.

If you have an interesting use case you would like to share , please leave a comment or get in touch with us,