Abstract
This essay describes fuzzy CARIN, a knowledge representation language 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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Mailis, T., Stoilos, G., & Stamou, G. (2007). Expressive reasoning with horn rules and fuzzy description logics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4524 LNCS, pp. 43–57). Springer Verlag. https://doi.org/10.1007/978-3-540-72982-2_4
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