Contextual Ontologies

Abstract

Contextual ontologies are ontologies that characterize a concept by a set of properties that vary according to context. Contextual ontologies are now crucial for users who intend to exchange information in a domain. Existing ontology languages are not capable of defining such type of ontologies. The objective of this paper is to formally define a contextual ontology language to support the development of contextual ontologies. In this paper, we use description logics as an ontology language and then we extend it by introducing a new contextual constructor.

Context-Aware Business Processes Modelling: Concepts, Issues and Framework

“…There are a number of different definitions and uses for this term. Context appears in many disciplines as a "metainformation" which characterizes the precise situation of an entity to describe a group of conceptual entities, or as a logical construct to facilitate reasoning services (Benslimane et al, 2006). Schilit and Theimer (1994) describe context as location, identities of nearby people, objects and changes in these objects.…”

Perspective-based accessing to Web datasources an approach using distributed description logics

“…In [3], [4], authors propose C-DL following the importing approach. Based on description logics, C-DL extends classical DL constructors by what they call contextual constructors.…”

Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources

“…In MCS, each context is defined as a self-contained knowledge source which includes the set of axioms and inference rules to model the system and perform local reasoning. In the literature, many definitions of multi-context systems have been proposed (see e.g., [8,9]). In [8], Brewka et al define multicontext system as a number of people, agents, databases etc.…”

“…to describe the available information from a set of contexts and inference rules and specify the information flow among these contexts. In [9], Benslimane et al have described ontology as a context, which is itself an independent selfcontained knowledge source having a set of axioms and inference rules with its own reasoner to perform reasoning. In this work, we consider the concept of context in two levels.…”

“…In this work, we consider the concept of context in two levels. The first level is based on multi-context system to model heterogeneous systems similar to contextual ontologies studied by [9]. For the second level, we follow the approach proposed in our previous work [4,5], where a context is formally defined as a (subject, predicate, object) triple that states a fact about the subject where -the subject is an entity in the environment, the object is a value or another entity, and the predicate is a relationship between the subject and object.…”