EXPRESSIVE REASONING WITH HORN RULES AND FUZZY DESCRIPTION LOGICS

2nd K-Space PhD Jamboree Workshop

Theofilos Mailis ; Stefanos Kollias

Others  :  http://CEUR-WS.org/Vol-379/paper4.pdf
PID  :  46742

来源: CEUR

【 摘 要 】

This paper describes fuzzy CARIN, a knowledge representation lan- guage combining fuzzy description logics with Horn Rules. Fuzzy CARIN integrates the management of fuzzy logic into the non recursive CARIN system. It provides a sound and complete algorithm for representing and reasoning about fuzzy ALCNR extended with non recursive Horn Rules. Such an extension is most useful in realistic applications dealing with uncertainty and imprecision, such as multimedia processing and medical applications. Additionally, it provides the ability of answering to union of conjunctive queries, which is a novelty not previously addressed by fuzzy DL systems.