A guide to the SQL standard
The IRUS transportable natural language database interface
Proceedings from the first international workshop on Expert database systems
Algorithm schemata and data structures in syntactic processing
Readings in natural language processing
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Cooperative Responses to Boolean Queries
Proceedings of the First International Conference on Data Engineering
Building Usable Menu-Based Natural Language Interfaces To Databases
VLDB '83 Proceedings of the 9th International Conference on Very Large Data Bases
SEQUEL: A structured English query language
SIGFIDET '74 Proceedings of the 1974 ACM SIGFIDET (now SIGMOD) workshop on Data description, access and control
Semantic grammar: a technique for efficient language understanding in limited domains.
Semantic grammar: a technique for efficient language understanding in limited domains.
Cooperative responses from a portable natural language data base query system.
Cooperative responses from a portable natural language data base query system.
Query optimization by semantic reasoning
Query optimization by semantic reasoning
Correcting object-related misconceptions (natural language)
Correcting object-related misconceptions (natural language)
Operating statistics for the transformational question answering system
Computational Linguistics
Kaleidoscope Data Model for An English-like Query Language
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Web Semantics: Science, Services and Agents on the World Wide Web
GINO – a guided input natural language ontology editor
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Hi-index | 0.00 |
Kaleidoscope's approach is presented in the context of seeking improvement in the usability of interactive structured query language (SQL) interfaces. The system's cooperation is summarized as proposing valid query constituents step-by-step and providing lexical and semantic feedback immediately to users. To implement this intraquery guidance, the context-free grammar (CFG) is extended to capture the constraints useful for intraquery guidance, and the knowledge useful for pruning nonsensical queries and providing semantic feedback is articulated. For the SQL interface, this knowledge includes a strong domain concept, functional dependency, and integrity constraint rules, which can be acquired once in the database design step. The same types of knowledge are useful both for postquery cooperation and intraquery guidance. As SQL is supported bv virtually all database management system (DBMS) vendors, the approach presents a practical solution for casual database access.