LANLI: A Natural Language Interfacing Tool for Relational Database Query Generation

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Big Data
Format: PDF
Most conventional databases in use today are based on the relational model. Values in a relation are taken from a finite set of strictly typed domain. Each relation in the database represents a proposition and each record in a relation is a statement such that it evaluates to 'True' for that proposition. SQL is known to be rigid and thus will not retrieve relevant items when users can't formulate appropriate queries. Problem exist when user do not have prior knowledge of the database and thus will not be able to formulate relevant queries. The authors think of the use of a generalized search interface that can handles natural language request by introducing a LANLI based item search technique.
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