Schema-based

Relating to or utilizing a schema, which is an organized pattern of thought or behavior that organizes categories of information and the relationships among them. schema-based processing relies on pre-existing mental frameworks, allowing for faster information processing and comprehension by fitting new data into established cognitive structures. This approach is common in fields like psychology, artificial intelligence, and database management, where organized structures are essential for efficient operation. Schemas can encompass knowledge about objects, events, people, or concepts, helping us interpret and interact with the world.

Schema-based meaning with examples

• The psychologist used a schema-based therapy approach to help the patient understand and modify her negative self-schemas, which were rooted in past experiences. By identifying and challenging these cognitive structures, the therapist facilitated the development of healthier thought patterns and behavioral responses. This involved exploring childhood events and the formation of these negative self-schemas.
• When reading, skilled readers often employ schema-based reading strategies. They activate prior knowledge and expectations about the topic and use them to make connections between the text and their existing understanding. This background knowledge aids comprehension, allowing them to fill in gaps and draw inferences more effectively, leading to greater reading fluency.
• The design of the AI agent involved a schema-based knowledge representation system, enabling the agent to understand and process information about complex scenarios. The pre-defined schemas allowed the agent to infer relationships between entities, predict outcomes, and make informed decisions based on the context, significantly increasing its efficiency.
• The database uses a schema-based structure to manage the information about its users, creating the relationships between entities. This schema defines the relationships between data elements such as tables, fields, and data types, improving data integrity and ease of access for any data processing procedures conducted across it.