Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project
Texte intégral
Documents relatifs
The increasing size of typical space weather data sets may render retrieval by Internet unacceptably slow, so that fast and exible distribution systems on mass storage media will
and re-use.. centres are very active in EUDAT as well as in RDA and that for example also ANDS and NDS engage actively in RDA. The Max Planck Computing and Data Facility for
One of LARHRA research groups, the Digital history research team headed by Francesco Beretta, is particularly concerned with methodological issues in digital
Ontology-based data access and integration (OBDA/I) are by now well-established paradigms in which users are provided access to one or more data sources through a conceptual view
The substantial improvement of data availability will enable cross- data set analysis and visualisation, in which the integration of geospatial data from different sources
We configure KerA similarly to Kafka: the number of active groups is 1 so the number of streamlets gives a number of active groups equal to the number of partitions in Kafka (one
Accordingly, we propose a Data Quality Manager as a framework to deal with data inconsistencies and lack of quality due to different sources; presenting a continu- ous process of
A data referencing mechanism is required for automatically creating data URIs for each information store, or item, which support the principles of linked data.. As information