Knowledge Representation in Chemistry

Knowledge representation in chemistry involves organizing and storing information about chemical substances, reactions, and properties in a structured way that computers can understand and analyze. This enables automation of tasks like predicting molecule behavior, designing new compounds, and understanding chemical systems. Techniques include using databases, logical frameworks, and specialized languages to encode information such as molecular structures, reaction mechanisms, and properties. Effective representation helps scientists retrieve relevant data quickly, facilitate simulations, and support decision-making in research and industry. It bridges human chemical knowledge with computational tools, advancing scientific discovery and innovation.