The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Current approaches to the interoperability of heterogeneous resources typically maintain coordinated clones over which querying infrastructure operates. In the case of large-scale repositories, and especially when no single schema is clearly established so that the problem can be reduced to transforming legacy data, a more dynamic approach would be a benefit. In many real-world situation, however, useful queries need to combine information from different sources that are actively maintained in incompatible schemata and are too large to systematically clone. Examples include the various agricultural resource repositories and databases such as meteorological archives and GIS. In this position paper we explore the applicability of the W3C Protocol for Web Description Resources (POWDER) as infrastructure for the efficient and distributed retrieval of the meta-information needed to dynamically re-write queries in one schema to the (set of) semantically equivalent queries that need to be executed over the various heterogeneous schemata. This enables information providers to publish information in any schema as long as POWDER is used to annotate their repository with the coordination-related meta-information. Querying engines can then exploit existing and established resource discovery mechanisms implemented over the POWDER protocol to retrieve the meta-information pertinent to any single triple pattern in a query and use that to dynamically perform query rewriting.
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