To support uncertain ontology representation and ontology reasoning and map**, we
propose to incorporate Bayesian networks (BN), a widely used graphic model for knowledge …

Abstract The Semantic Web is well recognized as an effective infrastructure to enhance
visibility of knowledge on the Web. The core of the Semantic Web is “ontology”, which is …

It is always essential but difficult to capture incomplete, partial or uncertain knowledge when
using ontologies to conceptualize an application domain or to achieve semantic …

This paper describes an ontology-driven model, which integrates Bayesian Networks (BN)
into the Ontology Web Language (OWL) to preserve the advantages of both. This model …

Semantic interoperability is the faculty of interpreting knowledge imported from other
languages at the semantic level, ie to ascribe to each imported piece of knowledge the …

Integrating different information sources is a growing research area within different
application domains. This is particularly true for the geographic information domain which is …

The development of geographical information systems (GIS) and the interoperability
between these systems demands new requirements for the description of the underlying …

The Semantic Web o? ers new options for information processes. Dr. Visser is dealing with
twocore issuesin this area: the integrationofdata onthe sem-tic level and the problem of …

Dealing with uncertainty is crucial in ontology engineering tasks such as domain modeling,
ontology reasoning, and concept map** between ontologies. This paper presents our on …

The so-called information society demands for complete access to available information,
which is often heterogeneous and distributed. Most information systems use specific data …