A few days ago it was announced that Google is becoming a semantic search engine, thanks to semantics. The truth is that semantics is becoming a great ally of business intelligence at many levels, in this particular case it is possible that ideas and external functionalities that the search engine can use to offer a much higher quality of information will emerge.
Semantics in search engines
Some time ago the search engine did not identify the context of the search results, now it is something it has managed to do very well and it has recently been extrapolated to Spanish, which is also interesting.
Semantics and search results
but what does this translate into in search results?
For example if you search for something about Christopher Columbus, before you would get a result related to pages that contain Christopher Columbus as a reference name in their tags or in their texts, now in addition to that, you also get people related to Christopher Columbus at that time, for example, the Catholic Monarchs. That is to say, the context of the search makes the user have more information about the environment of the specific search he is doing, becoming in this way a kind of wise search engine that knows and presents you what is related to the search you are doing.
Semantics and Experts
There are not many companies and experts that have a high knowledge of these topics, in fact those that exist in the market are beginning to be in high demand by companies around the world. A concrete case is Bitext, whose semantic technology has made that the business applications to which it can be dedicated can be bigger and bigger, entering in business niches that before the companies did not even consider studying, but today thanks to the data mining systems in which these technologies are integrated, the information of the markets is quite accurate, being able to have very precise data of what people think.
Data can be extracted from hundreds of sites, such as social networks, and these sources are highly interesting for many brands that want to know the realities of their public directly by what their public thinks, without loss of data and knowing very well how market variations occur, and can also have the competition of the users of these systems very controlled, and knowing very well the interests of their customers, which today is worth gold for companies that know how to exploit it.