Blog, Semantic Technology, SEMANTICS
26 October 2018

How is semantic technology different?

Semantic technology is different from many standard approaches because, as the word “semantic” reminds us, we are dealing with a technology that makes meaning the core of its business.

In the keyword approach to search, which is still used today, a word’s meaning remains unknown. This can lead to an incorrect interpretation of what the user intends. In fact, when working with keywords, most search systems do not aim to understand what the use of a specific word implies, they simply gather all the documents that contain the term used.

Setting aside the meaning from a word can end up generating false positives; moreover, other information that is important to your search may be lost in the process. In not considering “meaning” in search, a simple keyword approach also does not consider synonyms or concepts related to the intended term.

Not finding the right document or the right information means losing relevant data

To master structured and unstructured data to extract all the relevant information it contains, companies must turn to a more advanced approach that can offer both precision in what is extracted and cost efficiency.

Expert System understands the challenge companies are facing when it comes to dealing with incomplete data. Its semantic technology is designed to help its customers extract every piece of relevant information from their data.

Cogito, by leveraging the ability to mimic human understanding of information, focuses its attention on the meaning of every word used, in the context in which it appears, while reasoning on the concepts involved. It sounds complicated, but this is exactly the process that humans use to understand when we are reading something or talking to someone.

With its Artificial Intelligence (AI), Cogito can perform all these tasks at a speed unimaginable for a human being, and at the same time, semantic technology performs grammatical and logical analysis to bring to light the relationships among words, meanings and context, so that no relevant clue remains hidden.

Such a deep analysis in real time can support decision makers to make better decisions faster, monitoring activities, detecting risks and understanding even the smallest variations happening around us in this constantly changing information environment.

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