How does "semantic web" enhance traditional web usage?

The semantic web enhances traditional web usage by allowing data to be understood and processed by machines. This involves the use of standardized data formats, ontologies, and metadata that enable computers to interpret the meaning of information on the web beyond just the text on the page.

By facilitating a richer and more meaningful interaction between the user and the data, the semantic web enables applications to perform more sophisticated queries, integrate information from different sources, and provide more relevant search results. This machine-readable structure helps in automating data extraction, improving data interoperability, and enabling advanced applications such as intelligent agents and personalized content delivery.

The other options do not accurately capture the primary purpose of the semantic web. While advertisements may increase user engagement, they do not relate to the fundamental enhancement of data understanding. Simplifying web page designs and creating exclusive user content focus on aesthetics and user experience rather than on the structured data and its comprehension by machines, which is at the core of the semantic web's goal.