It is generally accepted that knowledge based systems would be smarter if they can manage uncertainty. In this paper we extend Description Log-ics, well-known logics for managing structured knowledge, towards the management of uncertainty. We allow (i) to express that a sentence is not just true or false, but certain to some degree, which is taken from a certainty lattice; and (ii) combine the logic with annotated logic pro-gramming, in which the management of uncertainty is based on so-called annotation terms
Ontologies play a crucial role in the development of the Semantic Web as a means for defin-ing share...
It is well known that many artificial intelligence applications need to represent and reason with kn...
The authors propose an architecture for uncertainty reasoning for rule-based systems in Prolog. Prev...
It is generally accepted that knowledge based systems would be smarter if they can manage uncertaint...
It is generally accepted that knowledge based systems would be smarter if they can manage uncertaint...
It is generally accepted that knowledge based systems would be smarter if they can manage uncertai...
Description Logics (DLs) play an important role in the Semantic Web as the foundation of ontology la...
Logic-based knowledge representation is one of the main building blocks of (logic-based) artificial ...
We present a new family of representation languages, called Descrip-tion Logic Programs (DLPs) and D...
Abstract. We briefly outline the need to incorporate uncertainty and flexibility into the semantic w...
AbstractDescription logics (DLs) play an important role in the Semantic Web as the foundation of ont...
Abstract. Dealing with uncertainty is a very important issue in description logics (DLs). In this pa...
In this work we assume that uncertainty is a multifaceted concept and present a system for automated...
Many frameworks have been proposed to manage uncertain information in logic programming. Essentiall...
Possibilistic logic provides a convenient tool for dealing with inconsistency and handling uncertain...
Ontologies play a crucial role in the development of the Semantic Web as a means for defin-ing share...
It is well known that many artificial intelligence applications need to represent and reason with kn...
The authors propose an architecture for uncertainty reasoning for rule-based systems in Prolog. Prev...
It is generally accepted that knowledge based systems would be smarter if they can manage uncertaint...
It is generally accepted that knowledge based systems would be smarter if they can manage uncertaint...
It is generally accepted that knowledge based systems would be smarter if they can manage uncertai...
Description Logics (DLs) play an important role in the Semantic Web as the foundation of ontology la...
Logic-based knowledge representation is one of the main building blocks of (logic-based) artificial ...
We present a new family of representation languages, called Descrip-tion Logic Programs (DLPs) and D...
Abstract. We briefly outline the need to incorporate uncertainty and flexibility into the semantic w...
AbstractDescription logics (DLs) play an important role in the Semantic Web as the foundation of ont...
Abstract. Dealing with uncertainty is a very important issue in description logics (DLs). In this pa...
In this work we assume that uncertainty is a multifaceted concept and present a system for automated...
Many frameworks have been proposed to manage uncertain information in logic programming. Essentiall...
Possibilistic logic provides a convenient tool for dealing with inconsistency and handling uncertain...
Ontologies play a crucial role in the development of the Semantic Web as a means for defin-ing share...
It is well known that many artificial intelligence applications need to represent and reason with kn...
The authors propose an architecture for uncertainty reasoning for rule-based systems in Prolog. Prev...