Interlinked Data refers to a method of connecting different sets of data across various sources, allowing them to be easily accessed and understood together. This approach enhances the value of data by creating relationships between datasets, making it easier to find relevant information and draw insights. A common example of Interlinked Data is the Semantic Web, which uses standards like RDF (Resource Description Framework) to link data on the internet. By interlinking data, users can navigate through related information seamlessly, improving research, data analysis, and decision-making processes.