We present a method for representing and reasoning with uncertainty in RDF(S) and OWL ontologies based on Bayesian networks. Categories and Subject Descriptors: I.2.4 Artificial I...
: Previously we have proposed a theoretical framework, called BayesOWL, to model uncertainty in semantic web ontologies based on Bayesian networks. In particular, we have developed...
We address the problem of integrating web taxonomies from different real Internet applications. Integrating web taxonomies is to transfer instances from a source to target taxonom...
Chia-Wei Wu, Richard Tzong-Han Tsai, Cheng-Wei Lee...
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
In this paper we demonstrate an automatic approach for emergent semantics modeling of ontologies. We follow the collaborative ontology construction method without the direct intera...