Deep learning translates as deep learning and is a type of artificial intelligence (AI) that is encompassed within machine learning.
Read More »To know how semantic technology works, the first thing you should know is that it is responsible for helping artificial intelligence systems to understand language and process information as humans do, being able to manage, store and retrieve information based on meaning and logical relationships.
Semantic technology processes the logical structure of sentences to identify the most relevant elements of the text and to understand the subject matter (the story). Understanding the exact meaning of words is essential to understand the content and perform proper text mining.
In this way, the real meaning of the text (the story) is captured. For example, you understand that the main theme of a text is "sport" and "health", although these words do not appear in the text, but related concepts such as "wellness", "stretching", "yoga", "endorphin" do appear.
Although we must keep in mind that not all data tells stories. Big Data provides companies with information about the volume of data collected or the types of sources used, but this data needs to be interpreted. The interpretation of the data is known as Smart Data. And the goal is clear: to elaborate the story from the filtered useful data and relate them semantically so that they can be interpreted by the machine. Obviously, as the amount of digital information increases and, above all, unstructured information, it becomes much more complicated to filter the data effectively.
► You may be interested in: Artificial intelligence applied to the semantic web
The technologies used for the development of the semantic web are mainly based on four languages that facilitate the interoperability of information. Below, we will define their main characteristics:
More and more companies are aware of the growing importance of their presence and prestige on the Internet. There is no doubt that for many companies the web has become a fundamental ally in expanding communication and sales channels. To do this, companies need to be able to analyze the meaning of the huge amount of unstructured data they receive. Semantic technology can be the solution, because there are huge amounts of disorganized, duplicated or outdated resources to find the right information. Therefore, they need digital tools to manage information more efficiently.
Knowledge graphs supported by artificial intelligence allow storing data and providing them with structure and context, so that the machine can learn and "reason" by exploiting the data and their interrelationships. Optimization of knowledge graphs is what will enable the development of conversational artificial intelligence products. that "mimic" the way human beings think and relate to information and knowledge.
But, what is a knowledge network and what does it consist of?
A "knowledge network"refers to the storage of knowledge in a graph structure, which is a structure composed of a set of nodes and edges.
Information can be stored in both nodes and relations. In both cases, the stored knowledge is accompanied by "semantic information", that is, the meaning of the entities as words coming from a language.
This information includes both semantic information of the entity itself (e.g., the entity 'person' has the attribute 'date of birth'), and semantic information related to semantic relationships between two entities (e.g., the entity 'dog' has a direct relationship with the entity 'animal').
Establishing a graphic simile, the structure of graphs is similar to the one our brain uses to structure knowledge.
► You may be interested in: Why artificial intelligence is important for businesses
Deep learning translates as deep learning and is a type of artificial intelligence (AI) that is encompassed within machine learning.
Read More »Before talking about artificial intelligence in the Fintech market, we would like to mention that the term Fintech is nowadays applied to the technologies that are [...]
Read More »Business intelligence, also known as "business intelligence" or BI, is a set of techniques, tools and methodologies that are used in the [...]
Read More »Blockchain technology is best known as the computer architecture on which Bitcoin and other cryptocurrencies are based, and it is also known as the [...]
Read More »