Abstract. This research explores a new method for Semantic Web service matchmaking based on iSPARQL strategies, which enables to query the Semantic Web with techniques from traditi...
We present the first evaluation of the utility of automatic evaluation metrics on surface realizations of Penn Treebank data. Using outputs of the OpenCCG and XLE realizers, along...
Dominic Espinosa, Rajakrishnan Rajkumar, Michael W...
This paper presents a new method for branch prediction. The key idea is to use one of the simplest possible neural networks, the perceptron as an alternative to the commonly used ...
This paper considers a multi-query optimization issue for distributed similarity query processing, which attempts to exploit the dependencies in the derivation of a query evaluati...
This paper exploits a previously developed analytical modeling framework to compare several variations of the basic flooding search strategy in unstructured decentralized peer-to...