Improving the Customization of Natural Language Interface to Databases Using an Ontology

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Provided by: Springer Healthcare
Topic: Big Data
Format: PDF
Natural language interfaces to databases are considered one of the best alternatives for final users who wish to make complex, uncommon and frequent queries, which is a very common need in organizations. The use of this type of interfaces has been very limited, due to their limited publicizing and the complexity to adapt them to users' needs, and because their precision varies widely. The authors propose as a solution to the problem of customizing this type of interfaces, the use of an ontology as a knowledge base whose design is simple and flexible enough to make the use and acceptance of these interfaces more accessible.
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