Abstract. We present INDUS (Intelligent Data Understanding System), a federated, query-centric system for knowledge acquisition from autonomous, distributed, semantically heterogen...
Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian ...
Abstract. The heterogeneous and unreliable nature of distributed systems has created a distinct need for the inclusion of provenance within their design to allow for error correcti...
Although research in data integration has become one of the main issues in [6], geographic data integration is still a laborious and complicated problem, even for specialists. Geo...
Given the heterogeneous nature of biological data and their intensive use in many tools, in this paper we propose a semantic data access and integration (DAI) service, based on th...
Giovanni Aloisio, Massimo Cafaro, Italo Epicoco, S...
Data services for the Grid have focussed so far primarily on virtualising access to distributed databases, and encapsulating file location. However, orchestration of services requ...
Andrew Woolf, Ray Cramer, Marta Gutierrez, Kerstin...