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Is natural language querying practical?

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Sasa M. DeklevaAuthors Info & Claims

ACM SIGMIS Database: the DATABASE for Advances in Information Systems, Volume 25, Issue 2

Pages 24 - 36

https://doi.org/10.1145/190743.190745

Published: 01 May 1994 Publication History

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Abstract

The study reported here involved the use of the natural language query system INTELLECT. It evaluated the level of correct interpretation to investigate whether the use of such a system is practical. Two sets of queries generated by two groups of senior-level business students were used. Questions from the first set were generated by "naïve" students who were untrained, and not aware that they were providing queries which were to be executed by a computer. Students from the second group attended a short lecture and understood that they were to generate natural language queries to be executed by a computer. INTELLECT's lexicon was augmented in stages. The level of correct interpretation achieved in this study is far above any previously reported and suggests that existing natural language query systems may be practical. key features in the accuracy of interpretation were user training and iterative lexicon enhancement.

References

[1]

Barbary, C. L., (1987). "A Database Primer on Natural Language," Journal of Systems Manage-ment, Vol. 38, No. 4, pp. 20-25.

Digital Library

Google Scholar

[2]

Bates, M., Meltzer, D., and Shea, S., (1987). "Designing a Practical Interface," Al Expert, Vol. 2, No. 5, pp. 60-66.

Digital Library

Google Scholar

[3]

Daly, J., (1992). "Stumped? Ask your Mac: At Colgate-Palmolive, Software Gives Computers a Mind of Their Own," Computer-world , Vol. 26, No. 10, pp. 37-40.

Google Scholar

[4]

Hauptmann, A. G. and Green, B. F., (1983). "A Comparison of Command, Menu-Selection and Natural-Language Computer Programs," Behavior and Information Technology, Vol. 2, pp. 163-178.

Crossref

Google Scholar

[5]

Hawryszkiewycz, I. T., (1991). Database Analysis and Design, 2nd ed., Macmillan Publishing Co., New York.

Digital Library

Google Scholar

[6]

Hendrix, G. G., (1982). "Natural Language Interfaces," American Journal of Computational Linguistics, Vol. 8, No. 2, pp. 56-61.

Digital Library

Google Scholar

[7]

Jarke, M., Turner, J. A., Stohr, E. A., Vassiliou, Y., White, N. H., and Michielsen, K., (1985). "A Field Evaluation of Natural Language for Data Retrieval," IEEE Transaction on Software Engineer-ing, Vol. SE-11, pp. 97-114.

Google Scholar

[8]

Napier, H. A., Lane, D. M., Batsell, R. R., and Guadango, N. S., (1989). "Impact of a Restricted Natural Language Interface on Ease of Learning and Productivity," Communications of the ACM, Vol. 32, pp. 1190-1198.

Digital Library

Google Scholar

[9]

Sethi, V., (1987). "Towards Understanding the Role, Importance, and Impact of Natural Language Interfaces to Databases," Proceedings of the Eighth International Conference on Information Systems, Pittsburgh, PA, pp. 176-187.

Google Scholar

[10]

Small, D. W. and Weldon, L. J., (1983). "An Experimental Comparison of Natural and Structured Query Languages," Human Factors , Vol. 25, pp. 253-263.

Crossref

Google Scholar

[11]

Snyder, C., (1987). "Natural Language at Work," Business Software Review, Vol. 6, December, pp. 53-58.

Google Scholar

[12]

Weiszmann, C. and Messenheimer, S., (1986). "Refining Product, Defining Market Will Carve Niche," Computerworld, Vol. 20, No. 48, December 1, pp. 48-50.

Google Scholar

[13]

Winograd, T., (1987). "Natural Language: Th e Continuing Challenge," Al Expert, Vol. 2, No. 5, pp. 7-8.

Google Scholar

Cited By

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Zhang WZeng KYang XShi TWang PWang MYoon B(2023)Text-to-ESQ: A Two-Stage Controllable Approach for Efficient Retrieval of Vaccine Adverse Events from NoSQL DatabaseProceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics10.1145/3584371.3613008(1-10)Online publication date: 3-Sep-2023
https://dl.acm.org/doi/10.1145/3584371.3613008
Baig MImran AYasin AButt AKhan M(2022)Natural Language to SQL Queries: A ReviewInternational Journal of Innovations in Science and Technology10.33411/IJIST/20220401114:1(147-162)Online publication date: 22-Feb-2022
https://doi.org/10.33411/IJIST/2022040111
Kaufmann EBernstein A(2010)Evaluating the usability of natural language query languages and interfaces to Semantic Web knowledge basesWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2010.06.0018:4(377-393)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.1016/j.websem.2010.06.001
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Is natural language querying practical?

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Published In

ACM SIGMIS Database: the DATABASE for Advances in Information Systems Volume 25, Issue 2

May 1994

46 pages

ISSN:0095-0033

EISSN:1532-0936

DOI:10.1145/190743

Editors:
Ephraim R. McLean
Georgia State Univ., Atlanta
,
Detmar W. Straub
Georgia State Univ., Atlanta

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Association for Computing Machinery

New York, NY, United States

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Published: 01 May 1994

Published in SIGMIS Volume 25, Issue 2

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Zhang WZeng KYang XShi TWang PWang MYoon B(2023)Text-to-ESQ: A Two-Stage Controllable Approach for Efficient Retrieval of Vaccine Adverse Events from NoSQL DatabaseProceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics10.1145/3584371.3613008(1-10)Online publication date: 3-Sep-2023
https://dl.acm.org/doi/10.1145/3584371.3613008
Baig MImran AYasin AButt AKhan M(2022)Natural Language to SQL Queries: A ReviewInternational Journal of Innovations in Science and Technology10.33411/IJIST/20220401114:1(147-162)Online publication date: 22-Feb-2022
https://doi.org/10.33411/IJIST/2022040111
Kaufmann EBernstein A(2010)Evaluating the usability of natural language query languages and interfaces to Semantic Web knowledge basesWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2010.06.0018:4(377-393)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.1016/j.websem.2010.06.001
Qi HFeng QLiang BFukushima T(2008)Ontology-based mobile information service platformProceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development10.5555/1791734.1791765(239-250)Online publication date: 26-Apr-2008
https://dl.acm.org/doi/10.5555/1791734.1791765
Androutsopoulos IRitchie GThanisch P(2008)Natural language interfaces to databases – an introductionNatural Language Engineering10.1017/S135132490000005X1:1(29-81)Online publication date: 12-Sep-2008
https://doi.org/10.1017/S135132490000005X
Qi HFeng QLiang BFukushima T(2008)Ontology-Based Mobile Information Service PlatformProgress in WWW Research and Development10.1007/978-3-540-78849-2_26(239-250)Online publication date: 2008
https://doi.org/10.1007/978-3-540-78849-2_26
Kelly DFu X(2007)Eliciting better information need descriptions from users of information search systemsInformation Processing and Management: an International Journal10.1016/j.ipm.2006.03.00643:1(30-46)Online publication date: 1-Jan-2007
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Feng QCao CSi JZheng Y(2003)A Uniform Human Knowledge Interface to the Multi-Domain Knowledge Bases in the National Knowledge InfrastructureApplications and Innovations in Intelligent Systems X10.1007/978-1-4471-0649-4_12(163-176)Online publication date: 2003
https://doi.org/10.1007/978-1-4471-0649-4_12
LEE HPARK J(2002)Interpretation of Natural Language Queries for Relational Database Access with Combinatory Categorial GrammarInternational Journal of Computer Processing of Languages10.1142/S021942790200065015:03(281-303)Online publication date: Sep-2002
https://doi.org/10.1142/S0219427902000650
Silverman BBachann MAl-Akharas K(2001)Do What I MeanIEEE Intelligent Systems10.1109/5254.94135716:4(48-53)Online publication date: 1-Jul-2001
https://dl.acm.org/doi/10.1109/5254.941357
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Natural language querying in SAP-ERP platform

Natural language querying of databases

Natural language querying of process execution data

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