A natural language front end to databases with evaluative feedback
Proc. of the ICOD-2 workshop on New applications of data bases
The design of an expert system for database design
Proc. of the ICOD-2 workshop on New applications of data bases
The IRUS transportable natural language database interface
Proceedings from the first international workshop on Expert database systems
TEAM: an experiment in the design of transportable natural-language interfaces
Artificial Intelligence
SQL: the structured query language
SQL: the structured query language
Providing Quality Responses with Natural Language Interfaces: The Null Value Problem
IEEE Transactions on Software Engineering
Generating context-sensitive responses to object-related misconceptions
Artificial Intelligence
Designing a Portable Natural Language Database Query System
ACM Transactions on Database Systems (TODS)
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Transition network grammars for natural language analysis
Communications of the ACM
A Guide to SQL/DS
KDA: A Knowledge-based Database Assistant
Proceedings of the Fifth International Conference on Data Engineering
A collaborative fuzzy expert system for the Web
ACM SIGMIS Database
An intelligent approach to handling imperfect information in concept-based natural language queries
ACM Transactions on Information Systems (TOIS)
A Survey on Content-Based Retrieval for Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
An abbreviated concept-based query language and its exploratory evaluation
Journal of Systems and Software
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A knowledge-based database assistant (KDA) which integrates a natural language query system with a skeleton-based query guiding facility is provided. When a user works with the KDA natural language query system, the query guiding facility can supply several kinds of skeletons to guide users in performing database retrieval tasks. A semantic network model, S-Net, is introduced to represent the knowledge for natural language query processing and skeleton generation. Methods for implementing the system are discussed.