Abstract. An important line of research within the field of fuzzy DLs is the computation of an equivalent crisp representation of a fuzzy ontology. In this short paper, we discuss the relation between tractable fuzzy DLs and tractable crisp representations. This relation heavily depends on the family of fuzzy operators considered. Introduction. Despite the undisputed success of ontologies, classical ontol-ogy languages are not appropriate to deal with vagueness or imprecision in the knowledge, which is inherent to most of the real world application domains. As a solution, several fuzzy extensions of Description Logics (DLs) have been proposed in the literature. For a good survey we refer the reader to [1]
Fuzzy Description Logics (DLs) are logics that allow to deal with vague structured knowledge. Althou...
Ontologies based on Description Logics (DLs) have proved to be effective in formally sharing knowled...
Abstract. Recent results show that ontology consistency is undecid-able for a wide variety of fuzzy ...
Abstract. Fuzzy Description Logics are a family of logics which allow the representation of (and the...
AbstractClassical ontologies are not suitable to represent vague pieces of information, which has le...
Abstract. In recent years many Fuzzy Description Logics (FDLs) based on infinite t-norms have been p...
Fuzzy description logics (DLs) have been investigated for over two decades, due to their capacity to...
Description Logics (DLs) are knowledge representation languages built on the basis of classical logi...
Abstract. Ontology consistency has been shown to be undecidable for a wide variety of fairly inexpre...
Fuzzy Description Logics (DLs) can be used to represent and reason with vague knowledge. This family...
Description logics (DLs) are used to represent knowledge of an application domain and provide standa...
In this paper we present a fuzzy version of Description Logic of the ontology description languag...
Description Logics (DLs, for short) allow reasoning about individuals and concepts, i.e. set of indi...
We present and discuss some novel and somewhat surprising complexity results for a basic but signifi...
Fuzzy description logics (DLs) have been investigated for over two decades, due to their capacity to...
Fuzzy Description Logics (DLs) are logics that allow to deal with vague structured knowledge. Althou...
Ontologies based on Description Logics (DLs) have proved to be effective in formally sharing knowled...
Abstract. Recent results show that ontology consistency is undecid-able for a wide variety of fuzzy ...
Abstract. Fuzzy Description Logics are a family of logics which allow the representation of (and the...
AbstractClassical ontologies are not suitable to represent vague pieces of information, which has le...
Abstract. In recent years many Fuzzy Description Logics (FDLs) based on infinite t-norms have been p...
Fuzzy description logics (DLs) have been investigated for over two decades, due to their capacity to...
Description Logics (DLs) are knowledge representation languages built on the basis of classical logi...
Abstract. Ontology consistency has been shown to be undecidable for a wide variety of fairly inexpre...
Fuzzy Description Logics (DLs) can be used to represent and reason with vague knowledge. This family...
Description logics (DLs) are used to represent knowledge of an application domain and provide standa...
In this paper we present a fuzzy version of Description Logic of the ontology description languag...
Description Logics (DLs, for short) allow reasoning about individuals and concepts, i.e. set of indi...
We present and discuss some novel and somewhat surprising complexity results for a basic but signifi...
Fuzzy description logics (DLs) have been investigated for over two decades, due to their capacity to...
Fuzzy Description Logics (DLs) are logics that allow to deal with vague structured knowledge. Althou...
Ontologies based on Description Logics (DLs) have proved to be effective in formally sharing knowled...
Abstract. Recent results show that ontology consistency is undecid-able for a wide variety of fuzzy ...