We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Association search is to search for certain instances in semantic web and then make inferences from and about the instances we have found. In this paper, we propose the problem of...
In a distributed system, replication of components, such as objects, is a well known way of achieving availability. For increased availability, crashed and disconnected components...
In distributed database systems, tables are frequently fragmented and replicated over a number of sites in order to reduce network communication costs. How to fragment, when to rep...
Jon Olav Hauglid, Norvald H. Ryeng, Kjetil N&oslas...
Semantic data transformation plays an important role in realizing the vision of the semantic web. It supports the transformation of data in different representations into ontologi...