In this paper, we studied the semantic consistency maintenance issue between heterogeneous contexts, that is, how a firm business process of one e-marketplace can be transformed t...
When involved in collaborative tasks, users often choose to use multi-synchronous applications in order to concurrently work in isolation. Hence, privacy of their changes is maint...
Integrated access to multiple distributed and autonomous RDF data sources is a key challenge for many semantic web applications. As a reaction to this challenge, SPARQL, the W3C Re...
We present a query-driven algorithm for the distributed indexing of large document collections within structured P2P networks. To cope with bandwidth consumption that has been ide...
Gleb Skobeltsyn, Toan Luu, Ivana Podnar Zarko, Mar...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...