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A Probabilistic Framework for Semantic Similarity and Ontology Mapping
(Institute of Industrial Engineers, 2007-05-19)
We propose a probabilistic framework to address uncertainty in ontology-based semantic integration and interopera- tion. This framework consists of three main components: 1) BayesOWL that translates an OWL ontology to a ...
A Bayesian Methodology towards Automatic Ontology Mapping
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling uncertainty in semantic web. The pro-posed ...
Using Ontologies in the Semantic Web: A Survey
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 used to explicitly represent our conceptualizations. ...
A Bayesian Approach to Uncertainty Modeling in OWL Ontology
Dealing with uncertainty is crucial in ontology engineering tasks such as domain modeling, ontology reasoning, and concept mapping between ontologies. This paper presents our on-going research on modeling uncertainty in ...