What is Semantic?

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

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What is Semantic technology

?Semantic technology is the use of formal semantics to give meaning to the various data that surrounds us. Semantic technology, along with Linked Data technology, described by the inventor of the World Wide Web, Sir Tim Berners-Lee, builds relationships between data in different formats and sources, chain-to-chain, helping to build context and make connections out of these relationships.

Semantic Technology defines and links data on the web by developing languages ​​to represent rich, self-descriptive correlations of data in a form that machines can process. Thus, machines can not only handle string literals and data indexes. They can also store, manage, and retrieve information based on meaning and logical relationships.

Semantic technology uses a set of universal standards, defined by the international community World Wide Web Consortium (W3C). The W3C’s Semantic Web Initiative says that the purpose of the technology in the Semantic Web context is to create a “universal means of data exchange” by seamlessly connecting global sharing of any kind. personal, commercial, scientific and cultural data.

W3C has developed open specifications for Semantic Technology developers to track, identify, through open source development, the infrastructure components that will be needed to scale in the web and be applicable in other place.

The main standards that Semantic Technology builds upon are Resource Description Framework (RDF), SPARQL (SPARQL Protocol and RDF Query Language), and optionally OWL (Web Map Language).

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RDF is a format Semantic Technology uses to store data on the Semantic Web or in a semantic graph database.

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SPARQL is a semantic query language specially designed to query data across different systems and databases, to retrieve and process data stored in RDF format.(optional) OWL is a computational logic-based language designed to display the schema of data and represent rich, complex knowledge about the hierarchy of things and the relationships between them. It complements RDF and allows to formalize the schema, the data ontology in a given domain, separate from the data.

By formalizing meaning independently of data and using W3C standards, Semantic Technology enables machines to understand, share, and reason with data to create more value for People.

In terms of approach, semantic technology reads and tries to understand language and words in context. Technically, this approach is based on different levels of analysis: morphological and grammatical analysis; Logical, sentence and lexical analysis, natural language analysis.

Practical application of semantic technology

Semantic technology helps businesses more intelligently explore data, infer relationships, and derive knowledge from huge sets of raw data in different formats and from a variety of sources. A semantic graph database (based on the Semantic Web vision), making it easier for machines to integrate, process, and retrieve data. This enables organizations to gain faster, more efficient access to meaningful and accurate data. Businesses can continue to use that knowledge for business use, apply predictive models, and make data-driven decisions.

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Various businesses have used Semantic Technology and semantic graph databases to manage content, reuse information, cut costs, and gain new revenue:

In the financial and insurance industries, many companies have begun to adopt technologies to enrich content, handle complex and heterogeneous data. In e-commerce, such as the umbrella industry The auto industry, technology supply industry, energy industry, service industry and many more are using Semantic Technology processes to extract knowledge from data by assigning meaning to other data sets. together.