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It is increasingly common to encounter materials researchers engaged in the collaborative analysis and transformation of large-scale scientific data over extended periods of time. A scalable system for managing, tracing, exploring and communicating the analysis of diverse scientific data is required for these researchers. Nowadays dataspaces systems offer a pay-as-you-go approach to data management,...
The massive, distributed, heterogeneous and diverse features of big data have raised challenges to traditional data management systems. As the development and innovation of Data Space, virtual data space (VDS) model is proposed for big data management. Local ontologies are created from data sources. Then the local ontologies are mapped and formed a global ontology. Based on this, access log and user...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.