The semantic grid: A future e-science infrastructure (original) (raw)

A Brief History of the Semantic Grid

2005

The story begins with the formulation of the UK e-Science programme during 2000. Instigated by John Taylor, then the Director General of UK Research Councils, e-Science was defined as being 'about global collaboration in key areas of science and the next generation of infrastructure that will enable it'and undertook to change the dynamic of the way science is undertaken.

E-science: The grid and the semantic web

2004

Abstract Over the past few years, researchers have been treated to two visions of the Internet's future. One is the Semantic Web, the next generation of World Wide Web technology. The second is grid computing, the next generation of internetworked processing. The Semantic Web is described as" an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation".

The semantic grid: past, present, and future

2005

Abstract Grid computing offers significant enhancements to our capabilities for computation, information processing, and collaboration, and has exciting ambitions in many fields of endeavor. We argue that the full richness of the Grid vision, with its application in e-Science, e-Research, or e-Business, requires the" Semantic Grid." The Semantic Grid is an extension of the current Grid in which information and services are given well-defined meaning, better enabling computers and people to work in cooperation.

e-Science and the Semantic Web: a symbiotic relationship

2006

e-Science is scientific investigation performed through distributed global collaborations between scientists and their resources, and the computing infrastructure that enables this. Scientific progress increasingly depends on pooling know-how and results; making connections between ideas, people, and data; and finding and reusing knowledge and resources generated by others in perhaps unintended ways. It is about harvesting and harnessing the “collective intelligence” of the scientific community.

Semantic Grid-The convergence of technologies

2006

The scientific paradigms of the Semantic Web, Web Services, Agents, Peer-to-Peer Networks and Grid Computing are currently receiving a lot of attention in the research community, and are producing solutions to important problems ranging from e-science to e-business. The United States DAML program, the European Commission and other organisations have also been investing heavily in these technologies.

CRC806-Database: A semantic e-Science infrastructure for an interdisciplinary research centre

2016

Well designed information infrastructure improves the conduct of research, and can connect researchers and projects across disciplines to facilitate collaboration. The topic of this thesis is the design and development of an information infrastructure for a large interdisciplinary research project, the DFG-funded Collaborative Research Centre 806 (CRC 806). Under the name CRC806-Database the presented infrastructure was developed in the frame of the subproject "Z2: Data Management and Data Services", a so-called INF project, which is responsible for the research data management within a DFG funded CRC. During the design, development and implementation of the CRC806-Database, the complex requirements for sound data management in the context of a large interdisciplinary research project were considered theoretically, as well as practically during the implementation. The presented infrastructure design is mainly based on the requirements for research data management in CRC&#3...

Semantic grid infrastructure for applications in biomedicine

In this paper, we present a prototype design of a semantic adaptive grid infrastructure called SEAGRIN, based on a decentralized execution of workflows. The design of the infrastructure is motivated by the needs of a biomedical grid. We provide an overview of current semantic grid technologies along with discussion of their suitability for this particular purpose. We address some of the shortcomings of existing solutions in our proposed infrastructure.