Modern scientific experiments can generate hundreds of gigabytes to terabytes or even petabytes of data that may furthermore be maintained in large numbers of relatively small fil...
Wantao Liu, Brian Tieman, Rajkumar Kettimuthu, Ian...
Data integration has evolved to provide efficient data management across distributed and heterogeneous data sources in grid environment. However, existing works in data integratio...
Yongwei Wu, Jia Liu, Gang Chen, Guangwen Yang, Bo ...
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...
As Data Grids become more commonplace, large data sets are being replicated and distributed to multiple sites, leading to the problem of determining which replica can be accessed ...
Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. F...
In this work, we focus on managing scientific environmental data, which are measurement readings collected from wireless sensors. In environmental science applications, raw sensor...