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
Application of Internet Technology and Web Information extraction wrapper based on DOM for Agricultural Data Acquisition
This paper presents a construction method of Web Information extraction wrapper based on DOM is proposed. Combining XPath and pattern matching, it can deal with the two type of information at the same time under the guide of source and target knowledge library. Also, knowledge libraries help to extract more useful information for users. This paper introduces in detail the process of building the wrapper and the corresponding algorithm, including information judgment based on DOM, key extraction block determination by hierarchical clustering thoughts, extraction expression determination using inductive learning and natural language processing and so on.
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