Data semantics is a research area that focuses on the meaning and interpretation of data in various contexts. It involves studying how data is structured, stored, and manipulated, as well as how it can be interpreted and used by different systems and applications. Data semantics also delves into the relationships between different pieces of data, such as how they are related, connected, or interlinked. In essence, data semantics seeks to understand the underlying meaning and significance of data, and how it can be effectively managed, exchanged, and understood by both humans and machines. This research area plays a critical role in fields such as data management, data integration, data interoperability, and data analytics. By studying data semantics, researchers aim to develop better methods and tools for organizing, interpreting, and utilizing data in a meaningful and efficient way.