Abstract. We study the problem of evaluating RDF queries over structured overlay networks. We consider the publish/subscribe scenario where nodes subscribe with long-standing queri...
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
This paper investigates methods to automatically infer structural information from large XML documents. Using XML as a reference format, we approach the schema generation problem ...
Abstract: Recently, Distributed Hash Tables evolved to a preferred approach for decentralized data management in widely distributed systems. Due to their crucial characteristics â€...
Tobias Heer, Heiko Niedermayer, Leo Petrak, Simon ...
State-of-the-art molecular dynamics (MD) simulations generate massive datasets involving billion-vertex chemical bond networks, which makes data mining based on graph algorithms s...
Cheng Zhang, Bhupesh Bansal, Paulo S. Branicio, Ra...