TRANSLATION OF FUZZY QUERIES FOR RELATIONAL DATABASE SYSTEM

被引：22

作者：

CHANG, SK

KE, JS

机构：

[1] Knowledge Systems Laboratory, Department of Information Engineering, University of Illinois, Chicago

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1979年 / 1卷 / 03期

关键词：

Artificial intelligence; database management system; database modeling; fuzzy query; intelligent user interface; query translation;

D O I：

10.1109/TPAMI.1979.4766924

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The concept of a database skeleton which reflects both the user's conception of the real world and the system's understanding of the interrelationships among database entities is described. It consists of a conceptual schema (conceptual graphs) and a relational schema (information graph). With the aid of the database skeleton, fuzzy queries can be translated and disambiguated by analyzing the queries using the conceptual graphs of a database skeleton. The query language XQL is introduced, and the XQL translator is described in some detail. Copyright © 1979 by The Institute of Electrical and Electronics Engineers, Inc.

引用

页码：281 / 294

页数：14

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CHANG, SK ;

KE, JS .

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 1978, 4 (01) :31-44

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