Translation of Fuzzy Queries for Relational Database System
Shi-Kuo Chang, Jyh-Sheng Ke · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1979
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.