Title :
Translation of Fuzzy Queries for Relational Database System
Author :
Chang, Shi-Kuo ; Ke, Jyh-Sheng
Author_Institution :
Knowledge Systems Laboratory, Department of Information Engineering, University of Illinois, Chicago, IL 60680.
fDate :
7/1/1979 12:00:00 AM
Abstract :
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.
Keywords :
Database languages; Database systems; Deductive databases; Fuzzy systems; Indexes; Intelligent systems; Network synthesis; Relational databases; Skeleton; User interfaces; Artificial intelligence; database management system; database modeling; fuzzy query; intelligent user interface; query translation;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1979.4766924
