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Treffer: Processing of natural language queries to a relational database.

Title:
Processing of natural language queries to a relational database.
Authors:
Samsonova M; St. Petersburg State Polytechnical University, 21, Tikhoretsky ave., St. Petersburg, 194064, Russia. samson@spbcas.ru, Pisarev A, Blagov M
Source:
Bioinformatics (Oxford, England) [Bioinformatics] 2003; Vol. 19 Suppl 1, pp. i241-9.
Publication Type:
Evaluation Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.
Language:
English
Journal Info:
Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Print ISSN: 1367-4803 (Print) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Imprint Name(s):
Original Publication: Oxford : Oxford University Press, c1998-
Grant Information:
R01 RR07801 United States RR NCRR NIH HHS
Substance Nomenclature:
0 (Drosophila Proteins)
Entry Date(s):
Date Created: 20030712 Date Completed: 20041014 Latest Revision: 20191210
Update Code:
20250114
DOI:
10.1093/bioinformatics/btg1033
PMID:
12855465
Database:
MEDLINE

Weitere Informationen

Motivation: A new method is developed to query a relational database in natural language (NL).
Results: The method, based on a semantic approach, interprets grammatical and lexical units of a natural language into concepts of subject domain, which are given in a conceptual scheme. The conceptual scheme is mapped formally onto the logical scheme. We applied the method to query the FlyEx database in natural language. FlyEx contains information on the expression of segmentation genes in Drosophila melanogaster. The method allows formulation of queries in various natural languages simultaneously, and is adaptive to changes in the knowledge domain and user's views. It provides optimal transformation of queries from natural language to SQL, as well as visualization of information as a hyperscheme. The method does not require specification of all possible language constructions as well as a standard grammar accuracy in formulation of NL queries.