Abstract. To represent and reason about contextualized knowledge of-ten two-dimensional Description Logics (DLs) are employed, where one DL is used to describe contexts (or possible worlds) and the other DL is used to describe the objects, i.e. the relational structure of the specific contexts. Previous approaches for DLs of context that combined pairs of DLs resulted in undecidability in those cases where so-called rigid roles are admitted, i.e. if parts of the relational structure are the same in all contexts. In this paper, we present a novel combination of pairs of DLs and show that reasoning stays decidable even in the presence of rigid roles. We give complexity results for various combinations of DLs including ALC, SHOQ, and EL.
Concrete domains are an extension of Description Logics (DLs) that allows to integrate reasoning abo...
The present work deals with Description Logics (DLs), a class of knowledge representation formalisms...
AbstractDescription logics (DLs) are a family of state-of-the-art knowledge representation languages...
To represent and reason about contextualized knowledge often two-dimensional Description Logics (DLs...
We introduce Description Logics of Context (DLCs) — an extension of Description Logics (DLs) for co...
Abstract. We develop a novel description logic (DL) for representing and reasoning with contextual k...
Abstract. We develop a novel description logic (DL) for representing and reasoning with contextual k...
In a modern world software systems are literally everywhere. These should cope with very complex sc...
Abstract. Description Logics (DLs) are a family of knowledge representation formalisms mainly charac...
Description Logics (DLs) are a family of logic-based formalisms for the representation of and rea...
We introduce Description Logics of Context (DLCs)—an extension of Description Logics (DLs) for conte...
Description Logics (DLs) provide a clear and broadly accepted paradigm for rea- soning about termin...
The development of language constructs for defining concept and role terms is an important goal of r...
We develop a novel description logic (DL) for representing and reasoning with contextual knowledge....
Description Logics (DLs) provide a clear and broadly accepted paradigm for modeling and reasoning ab...
Concrete domains are an extension of Description Logics (DLs) that allows to integrate reasoning abo...
The present work deals with Description Logics (DLs), a class of knowledge representation formalisms...
AbstractDescription logics (DLs) are a family of state-of-the-art knowledge representation languages...
To represent and reason about contextualized knowledge often two-dimensional Description Logics (DLs...
We introduce Description Logics of Context (DLCs) — an extension of Description Logics (DLs) for co...
Abstract. We develop a novel description logic (DL) for representing and reasoning with contextual k...
Abstract. We develop a novel description logic (DL) for representing and reasoning with contextual k...
In a modern world software systems are literally everywhere. These should cope with very complex sc...
Abstract. Description Logics (DLs) are a family of knowledge representation formalisms mainly charac...
Description Logics (DLs) are a family of logic-based formalisms for the representation of and rea...
We introduce Description Logics of Context (DLCs)—an extension of Description Logics (DLs) for conte...
Description Logics (DLs) provide a clear and broadly accepted paradigm for rea- soning about termin...
The development of language constructs for defining concept and role terms is an important goal of r...
We develop a novel description logic (DL) for representing and reasoning with contextual knowledge....
Description Logics (DLs) provide a clear and broadly accepted paradigm for modeling and reasoning ab...
Concrete domains are an extension of Description Logics (DLs) that allows to integrate reasoning abo...
The present work deals with Description Logics (DLs), a class of knowledge representation formalisms...
AbstractDescription logics (DLs) are a family of state-of-the-art knowledge representation languages...