Results 161 to 170 of about 73,684 (223)

Fuzzy-Spatial SQL

2004
Current Geographic Information Systems (GISs) are inadequate for performing spatial analysis, since they force users to formulate their often vague requests by means of crisp selection conditions on spatial data. In fact, SQL extended to support spatial analysis is becoming the de facto standard for GISs; however, it does not allow the formulation of ...
G Bordogna, G Psaila
openaire   +2 more sources

CHESS: Contextual Harnessing for Efficient SQL Synthesis

arXiv.org
Translating natural language questions into SQL queries, known as text-to-SQL, is a long-standing research problem. Effective text-to-SQL synthesis can become very challenging due to (i) the extensive size of database catalogs (descriptions of tables and
Shayan Talaei, Mohammadreza Pourreza, Yu-Chen Chang, Azalia Mirhoseini, Amin Saberi   +4 more
semanticscholar   +1 more source

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Proceedings of the VLDB Endowment
Text-to-SQL, the task of translating natural language questions into SQL queries, plays a crucial role in enabling non-experts to interact with databases.
Haoyang Li, Shang Wu, Xiaokang Zhang, Xinmei Huang, Jing Zhang, Fuxin Jiang, Shuai Wang, Tieying Zhang, Jianjun Chen, Rui Shi, Hong Chen, Cuiping Li   +11 more
semanticscholar   +1 more source

Introduction to SQL, SQL*Plus, and SQL Developer

2009
This chapter provides an introduction to the SQL language and two tools for working with it. The first section presents a high-level overview of the SQL language, which will give you an idea of the capabilities of this language. Then some important basic concepts of the SQL language are introduced in the second section, such as constants, literals ...
Lex de Haan, Daniel Fink, Tim Gorman, Inger Jørgensen, Karen Morton   +4 more
openaire   +1 more source

SQL

ACM SIGMOD Record, 1999
For several years now, you've been hearing and reading about an emerging standard that everybody has been calling SQL3. Intended as a major enhancement of the current second generation SQL standard, commonly called SQL-92 because of the year it was published, SQL3 was originally planned to be issued in about 1996…but things didn't go as planned.
Andrew Eisenberg, Jim Melton
openaire   +1 more source

OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment

Proc. ACM Manag. Data
Although multi-agent collaborative Large Language Models (LLMs) have achieved significant breakthroughs in the Text-to-SQL task, their performance is still constrained by various factors. These factors include the incompleteness of the framework, failure
Xiangjin Xie, Guangwei Xu, Lin Zhao, Rui Guo   +3 more
semanticscholar   +1 more source

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

arXiv.org
Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements.
Peixian Ma, Xialie Zhuang, Chengjin Xu, Xuhui Jiang, Ran Chen, Jian Guo   +5 more
semanticscholar   +1 more source

Next-Generation Database Interfaces: A Survey of LLM-Based Text-to-SQL

IEEE Transactions on Knowledge and Data Engineering
Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database schema comprehension, and SQL generation.
Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang   +6 more
semanticscholar   +1 more source

Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

arXiv.org
Text-to-SQL is a challenging task involving multiple reasoning-intensive subtasks, including natural language understanding, database schema comprehension, and precise SQL query formulation.
Mohammadreza Pourreza, Shayan Talaei, Ruoxi Sun, Xingchen Wan, Hailong Li, Azalia Mirhoseini, Amin Saberi, Sercan Ö. Arik   +7 more
semanticscholar   +1 more source

???????????? ???????????????????????? ?????????????????? SQL ????????????????? ???????????????????????? ???? ???????????? ???????????????? ?????????????????? ?? ???????????????????????? ??????????????????????

2021
???????????? ?? ???????????????? ?????????????????? SQL ????????????????? ???????????????????????? ???? ???????????? ?????????????????? ?????????????????? ???????????????? ?? ???????????????????????? ??????????????????????. ?????????? ?????????????????? ?????????? ?????????????????? ???????????????????????? ?????????? ???? ???????????????? ?????????????
  +6 more sources