What is the Semantic Grid? How can e-Science benefit from the technologies of the Semantic Web? Can we build a Semantic Web for e-Science? Would that differ from a Semantic Grid? Given our past experiences with Scientists, Grid developers and Semantic web researchers, what are the prospects, and pitfalls, of putting semantics into e-Science applications and Grid infrastructure? 1. e-Science, Gr...

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Recent works have proposed a number of models and tools to address the growing needs and expectations in the field of e-Science. At the same time, the availability and models of use of networked computing resources needed by e-Science are rapidly changing and see the coexistence of many disparate paradigms: high performance computing, grid and recently cloud, which brings very promising expecta...

The e-Science infrastructure is established to accelerate scientific discovery and innovation by integrating global resource federation and collaboration. The Worldwide LHC Computing Grid (WLCG) is the perfect example of advantages of immense scalability and multidisciplinary collaborations. Meanwhile, Cloud technology is expected to reduce the cost of exploiting research infrastructure and min...

The Virtual Laboratory for e-Science (VL-e) project serves as a backdrop for the ideas described in this chapter. VL-e is a project with academic and industrial partners where e-science has been applied to several domains of scientific research. Adaptive Information Disclosure (AID), a subprogram within VL-e, is a multi-disciplinary group that concentrates expertise in information extraction, m...

Grid computing, which can be characterized as large-scale distributed resource sharing and cooperation, has quickly become a mainstream technology in distributed computing. In this paper, we present the idea of applying certain grid workflow management techniques to mediate various services for grid-based e-science processes. The techniques of adaptable workflow services, aggressive sub-workflo...

Über die bereits vorhandenen Datenvolumina hinaus, stellt insbesondere die antizipierte Datenflut neuer e-ScienceProjekte Forscher vor neue Herausforderungen. Im Rahmen des AstroGrid-D-Projektes der deutschen Grid-Initiative (DGrid) erforschen wir mit dem HiSbase-System ein durchsatzoptimiertes Datenmanagement für fachspezifische Forschungsverbünde, das wir in Zusammenarbeit mit den führenden Z...

This paper discusses the challenges that are imposed by the Big Data Science on the modern and future Scientific Data Infrastructure (SDI). The paper refers to different scientific communities to define requirements on data management, access control and security. The paper introduces the Scientific Data Lifecycle Management (SDLM) model that includes all the major stages and reflects specifics...

In this paper, we present a methodology, called Semantic Graph Mining, for computer-aided extraction of actionable rules from consolidated semantic graphs of statements. First, generate semantic annotations of a set of heterogeneous knowledge/information resources in terms of domain ontology. Second, merge a semantic graph by means of semantic integration of the annotated resources. Third, disc...

The dynamic nature and the geographic distribution of scientific resources, require flexible and adaptive computational environment where an in-silico experiment can be executed as a workflow of activities. In this paper, we propose a software environment to dynamically generate domain-specific, agent-based workflow engines from workflow specifications. The workflow engine is a proactive multia...