What is semantic technology?

Semantic technology is a set of methods and tools that provide advanced means for categorizing and processing data, as well as for discovering relationships within varied data sets.

What does semantic mean in AI?

The word “semantic” refers to meaning in language. Semantic technology leverages artificial intelligence to simulate how people understand language and process information. By approaching the automatic understanding of meanings, semantic technology overcomes the limits of other technologies.

Which language technologies use semantic information?

Some examples of existing semantic technologies being used today include:

  • Natural-language processing (NLP). NLP technologies attempt to process unstructured text content and extract the names, dates, organizations, events, etc.
  • Data mining.
  • Artificial intelligence or expert systems.
  • Classification.
  • Semantic search.

Do computers have semantics?

More generally it can use its knowledge base for manipulating symbols and for transforming semantic information into instructions for the manipulation. Searle (1980, p. 423), writes: “The computer, to repeat, has a syntax but no semantics.

What does semantics mean in Python?

Python uses dynamic semantics, meaning that its variables are dynamic objects. Essentially, it’s just another aspect of Python being a high-level language. In the list example above, a low-level language like C requires you to statically define the type of a variable.

Can AI understand semantics?

In that case, AI’s true power to revolutionise industries and determine key business insights, lies in its ability to read text and understand the semantics (or relationship between words) to help organisations further mitigate risk and uncover liabilities.

What Is syntax and semantics in artificial intelligence?

Syntax and semantics. Syntax is the grammatical structure of the text, whereas semantics is the meaning being conveyed. A sentence that is syntactically correct, however, is not always semantically correct.