Relational Algebra

Relational algebra, a fundamental framework for database management, focuses on manipulating and querying data through a set of algebraic operations. Current research emphasizes extending its capabilities to handle hybrid data sources (structured and unstructured), integrating it with machine learning techniques (like neural networks and auto-differentiation), and improving efficiency for large-scale data processing via novel join algorithms and optimized query decomposition strategies. These advancements are crucial for enhancing the performance and applicability of database systems in diverse fields, including question answering, knowledge graph reasoning, and large-scale machine learning.