DocumentCode
2167109
Title
A WordNet-based natural language interface to relational databases
Author
Li, Hu ; Shi, Yong
Author_Institution
Inst. of Pattern Recognition & Artificial Intell., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
1
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
514
Lastpage
518
Abstract
This paper proposes an approach to creating an WordNet-based natural language interface to relational databases which allows end-users to access and query information in database with a natural language. In order to strengthen the reliability and the user-friendliness of the system, our approach integrates WordNet as the base lexicon and ontology as the knowledge base of the semantic interpreter. The user inputs will be first translated into syntax tree by syntax analysis, then it will be translated into an intermediate representation language DRS by the ontology-based semantic interpreter. The SQL generator transfers DRS expressions into SQL sentences by a template technique. The RDMS executes SQL sentences and returns the final result. This paper presents the framework based on ontology techniques to implement a portable NLIDBs that makes it easier to migrate from one domain to another. The prototype system and our experiments show that our approach has generated good results with excellent performance on common queries.
Keywords
computational linguistics; natural languages; ontologies (artificial intelligence); query processing; relational databases; DRS; NLIDBs; RDMS; SQL generator; ontology based semantic interpreter; query information; relational databases; semantic interpreter; syntax analysis; syntax tree; wordnet based natural language interface; Artificial intelligence; Database languages; Natural languages; OWL; Ontologies; Paper technology; Pattern recognition; Prototypes; Relational databases; Thesauri; DRS; NLIDBs; OWL; Ontology; RDMS; SQL; WordNet;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451893
Filename
5451893
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