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
Research on the Ontology-based Complex Event Processing Engine of RFID Technology for Agricultural Products
In order to improve the discriminating capacity of the RFID tags for agricultural products traceability data, a new handling engine ORFID-CEP for complex events of agricultural products RFID Tag based on ontology, is proposed by introducing the event ontology model into the field of the agricultural products quality safety administration. In the new engine, the ontology model of RFID event, semantic space and the rules of the event ontology are defined. In the RFID practical application instances, the number of the fringe real-time events is so large that those methods used in current systems can not handle them in time. Thus, many significant events are lost. Aiming to overcome the problem, the transform system of work flow for the complex event ontology and the optimized strategies for event exploration, event operation and restrictive conditions of event appearance are established. Experimental results show that the new engine can mine more complex events with semantic information than the conventional Esper-CEP engine. Additionally, the new engine is steadier than the Esper-CEP engine. With increasing number of the events, the growth rate of the new engine for mining complex events raises more quickly than Esper-CEP, which indicates that the engine has the good ability of information process.
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