The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

Abstract: Aiming to reduce the learning cost of database operations, Text-to-SQL methods provide a strategy of automatically generating structured query language (SQL), which is an active research ...

Abstract: With the advent of graph data, graph databases have garnered significant research interest and efforts in recent years, especially with respect to graph query processing. There have been a ...

Semantic parsing converts natural language into formal query languages such as SQL or Cypher, allowing users to interact with databases more intuitively. Yet, natural language is inherently ambiguous, ...

LLMs have shown strong performance in Knowledge Graph Question Answering (KGQA) by leveraging planning and interactive strategies to query knowledge graphs. Many existing approaches rely on ...

ABSTRACT: In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

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