Extending soft sets with description logics
نویسندگان
چکیده
منابع مشابه
Extending Description Logics with Uncertainty Reasoning in Possibilistic Logic
Possibilistic logic provides a convenient tool for dealing with inconsistency and handling uncertainty. In this paper, we propose possibilistic description logics as an extension of description logics. We give semantics and syntax of possibilistic description logics. We then define two inference services in possibilistic description logics. Since possibilistic inference suffers from the drownin...
متن کاملExtending Fuzzy Description Logics with a Possibilistic Layer
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. As a solution we will combine fuzzy Description Logics with a possibilistic layer. Then, we will show how to perform reasoning by relying on classical existing reasoners. Description Logics (DLs for short) are a family of logics for representing structured knowledge which have proved to be very use...
متن کاملExtending CARIN to the Description Logics of the SH Family
This work studies the extension of the existential entailment algorithm of CARIN to DLs of the SH family. The CARIN family of knowledge representation languages was one of the first hybrid languages combining DATALOG rules and Description Logics. For reasoning in one of its prominent variants, which combines ALCNR with non-recursive DATALOG, the blocking conditions of the standard tableaux proc...
متن کاملTitle: Description Logics Description Logics
KR: knowledge representation. DLs: Description Logics; a family of logic-based KR languages for representing knowledge through assertions about concepts, individuals and relationships among them. (Logic-based) Semantics: a way to interpret any statement in a language; logic-based semantics interprets such a statement using operations in mathematical logic. Interpretation: a mathematical structu...
متن کاملExtending Fuzzy Description Logics for the Semantic Web
Fuzzy Description Logics (Fuzzy DLs) and fuzzy OWL have been proposed as languages able to represent and reason about imprecise and vague knowledge. Such extensions have gained considerable attention the last couple of years since on the one hand they are pivotal for applications that are inherently imprecise, like multimedia analysis and retrieval, geospatial applications and more, while on th...
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ژورنال
عنوان ژورنال: Computers & Mathematics with Applications
سال: 2010
ISSN: 0898-1221
DOI: 10.1016/j.camwa.2009.12.014