The model design of a case-based reasoning multilingual natural language interface for database

Multilingual natural language interface for database (NLIDB) constitutes the primary factor on multilingual information retrieval system. This paper presents a multilingual NLIDB model based on case, which is motivated by the idea of case-based reasoning in machine learning. The model avoids the difficulties of constructing parsers for all intended supporting natural languages by storing every query pattern and its solution as a case into a casebase. Query sentence inputted by user is syntactically compared to cases in the casebase and the solution of the most similar case is reused to query the database. Each case is represented as a XML document fragment and the casebase is a valid XML document. All the facilities provided. by XML greatly enhanced the maintainability and scalability of the model. The model has been implemented in a multilingual NLIDB for a stock market information retrieval system.