A KNOWLEDGE-BASED APPROACH TO COOPERATIVE RELATIONAL DATABASE QUERYING-Reference-Cited by-同舟云学术

A KNOWLEDGE-BASED APPROACH TO COOPERATIVE RELATIONAL DATABASE QUERYING

Published:2000-02 Issue:01 Volume:14 Page:73-90
ISSN:0218-0014
Container-title:International Journal of Pattern Recognition and Artificial Intelligence
language:en
Short-container-title:Int. J. Patt. Recogn. Artif. Intell.

Author:

BRAGA JOSÉ LUÍS¹,LAENDER ALBERTO H. F.²,VANDER RAMOS CLAUDINEY³

Affiliation:

1. Departamento de Informática, Universidade Federal de Viçosa, 36571-000 Viçosa, MG, Brazil

2. Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte, MG, Brazil

3. Engetron Engenharia, Via Sócrates Mariani Bittencourt, 1099, 32010-010 Contagem, MG, Brazil

Abstract

We present in this paper an approach to providing cooperativeness in database querying using artificial intelligence techniques. The main focus is a cooperative interface that assists nonexperienced and casual users in extracting useful answers from a relational database. Our approach relies on an architecture that comprises two knowledge bases which store rules that describe the application domain and guide the process of query formulation and answering. A subset of SQL is used for expressing queries, and the cooperative interface relieves the user from knowing its full syntax and the structure of the database.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218001400000076

Reference17 articles.

1. On evolutionary spectral clustering

2. Extending answers to neighbour entities in a cooperative answering context

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