This book provides fundamental concepts of data representation, storage, processing, and extension in the field of science. Essential concepts include ontology, describing concepts and their relationships; semantic network, representing knowledge graphically; logical symbols, using mathematics and logic to express sciences formally; and database, structuring information. Thus, clarity and structurality in data representation are crucial in science. These methods are widely used in artificial intelligence (AI), natural language processing (NLP), and science management systems