Naive Semantics to Support Automated Database Design
IEEE Transactions on Knowledge and Data Engineering
Synthesizing structured text from logical database subsets
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
QueryViz: helping users understand SQL queries and their patterns
Proceedings of the 14th International Conference on Extending Database Technology
A phrasal approach to natural language interfaces over databases
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
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This paper presents Logos, a system that provides natural language translations for relational queries expressed in SQL. Our translation mechanism is based on a graph-based approach to the query translation problem. We represent various forms of structured queries as directed graphs and we annotate the graph edges with template labels using an extensible template mechanism. Logos uses different graph traversal strategies for efficiently exploring these graphs and composing textual query descriptions. The audience may interactively explore Logos using various database schemata and issuing either sample or ad hoc queries.