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Translation of Fuzzy Queries for Relational Database System

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2 Author(s)
Shi-Kuo Chang ; Knowledge Systems Laboratory, Department of Information Engineering, University of Illinois, Chicago, IL 60680. ; Jyh-Sheng Ke

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.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-1 ,  Issue: 3 )