Query Processing

Query processing focuses on efficiently retrieving and manipulating data in response to user requests, aiming to optimize speed, accuracy, and user experience. Current research emphasizes improving natural language interfaces for database querying, developing interactive systems that guide users through query construction, and automating the detection of privacy vulnerabilities in query-based data sharing systems. These advancements leverage techniques like large language models, federated learning, and evolutionary algorithms to enhance both the usability and security of data querying across diverse data types, including structured and unstructured data. The resulting improvements have significant implications for data analysis, information retrieval, and the responsible sharing of sensitive data.