Understanding the Semantic Web
The concept of the Semantic Web revolves around expanding the current World Wide Web to provide software programs with machine-readable metadata for published information and data. By adding additional data descriptors to existing web content and data, the Semantic Web enables computers to interpret information in a meaningful way, similar to how humans process information to achieve their goals.
The primary objective of the Semantic Web is to empower computers to manipulate information on our behalf.
The term “Semantic Web” was coined by Tim Berners-Lee, who explains that the term “semantic” refers to the machine-processability or the actions a machine can perform with the data.
In essence, the Semantic Web can be seen as a knowledge graph that combines interconnected and linked data with intelligent content. This combination facilitates machine understanding and the processing of content, metadata, and other information objects on a large scale.
By embracing Semantic Web standards, we can create more intelligent and seamless customer experiences. This implies that content will possess the capability to comprehend and present itself in the most relevant forms tailored to the specific needs of each customer. These standards have the potential to revolutionize the web by enabling machines to understand, connect, and combine the content we publish online.
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