ACM SIGIR Forum
Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
Establishing Logical Connectivity between Query Keywords and Database Contents
AI '98 Proceedings of the 12th Biennial Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Towards Building Robust Natural Language Interfaces to Databases
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
A statistical semantic parser that integrates syntax and semantics
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
A natural language query interface to structured information
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
AquaLog: an ontology-portable question answering system for the semantic web
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Hi-index | 0.00 |
Natural language (NL) accessto databases is a problem that has interested researchers for many years. We demonstrate that an ontology-based approach is technically feasible to handle some of the challenges facing NL query processing for database access. This paper presents the architecture, algorithms and results from the prototype thereof which indicate a domain and language independent architecture with high precision and recall rates. Studies are conducted for each of English and Swahili queries, both for same language and cross-lingual retrieval, from which we demonstrate promising precision and recall rates, language and domain independence, and that for language pairs it is sufficient to incorporate a machine translation system at the gazetteer level.