Partial results for online query processing
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Query Construction through Meaningful Suggestions of Terms
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
A semantically advanced querying methodology for medical knowledge and decision support
Knowledge media in healthcare
Information Systems
Composing Questions through Conceptual Authoring
Computational Linguistics
Generic querying of relational databases using natural language generation techniques
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
Information Systems
Supporting keyword queries on structured databases with limited search interfaces
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Semantic model for improving the performance of natural language interfaces to databases
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
A two-phased visual query interface for relational databases
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
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A new query formulation system based on a semantic graph model is presented. The graph provides a semantic model for the data in the database with user-defined relationships. The query formulator allows users to specify their requests and constraints in high-level concepts. The query candidates are formulated based on the user input by a graph search algorithm and ranked according to a probabilistic information measure. English-like query descriptions can also be provided for users to resolve ambiguity when multiple queries are formulated from a user input. For complex queries, we introduce an incremental approach, which assists users to achieve a complex query goal by formulating a series of simple queries. A prototype system with a multimodal interface using the high-level query formulation techniques has been implemented on top of a cooperative database system (CoBase) at UCLA.