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Ontology Based Natural Language Interface for Relational Databases
- Source :
- Procedia Computer Science. 92:487-492
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- Developing Natural Language Query Interface to Relational Databases has gained much interest in research community since forty years. This can be termed as structured free query interface as it allows the users to retrieve the data from the database without knowing the underlying schema. Structured free query interface should address majorly two problems. Querying the system with Natural Language Interfaces (NLIs) is comfortable for the naive users but it is difficult for the machine to understand. The other problem is that the users can query the system with different expressions to retrieve the same information. The different words used in the query can have same meaning and also the same word can have multiple meanings. Hence it is the responsibility of the NLI to understand the exact meaning of the word in the particular context. In this paper, a generic NLI Database system has proposed which contains various phases. The exact meaning of the word used in the query in particular context is obtained using ontology constructed for customer database. The proposed system is evaluated using customer database with precision, recall and f1-measure.
- Subjects :
- Natural Language queries
Natural language user interface
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Computer science
Relational database
02 engineering and technology
Query optimization
computer.software_genre
Query language
Search-oriented architecture
030507 speech-language pathology & audiology
03 medical and health sciences
Query expansion
Web query classification
Schema (psychology)
0202 electrical engineering, electronic engineering, information engineering
Data control language
Query by Example
General Environmental Science
computer.programming_language
Web search query
Ontology
business.industry
Backus Naur Form
InformationSystems_DATABASEMANAGEMENT
First Order Logic
Relational Databases
N-grams
General Earth and Planetary Sciences
020201 artificial intelligence & image processing
Sargable
Artificial intelligence
Structured Language Query
0305 other medical science
business
computer
Boolean conjunctive query
Natural language processing
RDF query language
Subjects
Details
- ISSN :
- 18770509
- Volume :
- 92
- Database :
- OpenAIRE
- Journal :
- Procedia Computer Science
- Accession number :
- edsair.doi.dedup.....06abec1427629cf5f21ae689ef94defe
- Full Text :
- https://doi.org/10.1016/j.procs.2016.07.372