Making multi-terabyte scientific databases publicly accessible over the Internet is increasingly important in disciplines such as Biology and Astronomy. However, contention at a c...
Xiaodan Wang, Tanu Malik, Randal C. Burns, Stratos...
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Abstract. In this paper we present an approach to question answering over heterogeneous knowledge sources that makes use of different ontology management components within the sce...
Stephan Bloehdorn, Philipp Cimiano, Alistair Duke,...
As the Semantic Web (SW) is being automatically populated with large number of RDF triples scalability issues related to wide scale reasoning occur. We believe these difficulties ...
We present the first prototype of INDUS (Intelligent Data Understanding System), a federated, query-centric system for information integration and knowledge acquisition from dist...
Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian ...