Name
Abstract | ||
|---|---|---|
Description Logics (DLs) are suitable, well-known, logics for managing structured knowledge. They allow reasoning about individuals and well defined concepts, i.e. set of individuals with common properties. The experience in using DLs in applications has shown that in many cases we would like to extend their capabilities. In particular, their use in the context of Multimedia Information Retrieval (MIR) leads to the convincement that such DLs should allow the treatment of the inherent imprecision in multimedia object content representation and retrieval. In this paper we will present a fuzzy extension of ALC, combining Zadeh's fuzzy logic with a classical DL. In particular, concepts becomes fuzzy and, thus, reasoning about imprecise concepts is supported. We will define its syntax, its semantics, describe its properties and present a constraint propagation calculus for reasoning in it. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1613/jair.813 | Journal of Artificial Intelligence Research |
Keywords | DocType | Volume |
fuzzy logic,fuzzy description logic,content representation,constraint propagation calculus,inherent imprecision,common property,classical dl,imprecise concept,multimedia information retrieval,description logics,fuzzy extension,constraint propagation,description logic,artificial intelligent | Journal | abs/1106.0667 |
Issue | ISSN | Citations |
1 | Journal Of Artificial Intelligence Research, Volume 14, pages
137-166, 2001 | 297 |
PageRank | References | Authors |
13.07 | 29 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Umberto Straccia | 1 | 2731 | 251.15 |