TEAM: an experiment in the design of transportable natural-language interfaces
Artificial Intelligence
Entity-relationship database user interfaces
Readings in database systems
OdeView: the graphical interface to Ode
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
ISIS: interface for a semantic information system
SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
Lessons from a "living in a database" graphical query interface
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
SNAP: A Graphics-based Schema Manager
Proceedings of the Second International Conference on Data Engineering
Ski: A Semantics-Knowledgeable Interface
VLDB '84 Proceedings of the 10th International Conference on Very Large Data Bases
GUIDE: Graphical User Interface for Database Exploration
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
Overview of natural language processing of captions for retrieving multimedia data
ANLC '92 Proceedings of the third conference on Applied natural language processing
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In this paper we describe a visual interface for a Multimedia Database Management System (MDBMS). In spite of the technological advances in display devices, DBMS query languages are still linear in syntax as it was two decades ago. Although natural language interfaces have been found to be useful, natural language is ambiguous and difficult to process. For queries on standard (relational) data these difficulties may be easily avoided with the use of a visual, graphical interface to guide the user in specifying the query. For image and other media data which are ambiguous in nature, we use natural language processing combined with direct graphical access to the domain knowledge to interpret and evaluate the natural language query. The system fully supports graphical and image input/output in different formats. The combination of visual effect and natural language specification, the support of media data, and the allowance of incremental query specification are very effective to simplify the process of query specification not only for image or multimedia databases but also for all databases.