Meaning-Based Computing

Meaning-Based Computing refers to information processing systems that understand and interpret the context and significance of data, rather than just analyzing raw words or symbols. Instead of matching exact keywords, these systems grasp the intent, concepts, and relationships behind the content, enabling more intelligent and relevant responses. This approach enhances search accuracy, natural language understanding, and decision-making by focusing on the meaning behind information rather than superficial matches. It aims to make computers better at understanding human communication, leading to more intuitive and effective interactions with technology.