The 2nd review meeting of the SemaGrow project will take place between 11-12 of December 2014 in Luxemburg. All project partners will be represented in the meeting, each one presenting their own parts of this collaborative work. Nikos Marianos, our Project Manager Director and the person responsible for the coordination of the Agro-Know contributions in the project will represent Agro-Know in the meeting. As usual, the first day of the meeting will consist of the final revisions in the presentation to be made in front of the project’s reviewers, fine-tuning and allocation of roles during the presentation while the second day will be the actual review meeting. The outcomes of the review meeting will allow project partners to identify weaknesses that need to be taken care of in the following months, before the end of the project, based on the comments received by the reviewers, providing the view of experts in the field but still outside the project.
The contribution of Agro-Know in this second review meeting will consist of the presentation of the evaluation methodology & piloting plan, as well as the first results of the pilot trials conducted so far. In addition, Nikos will present the status of the Agricultural Discovery Space (ADS) demonstrator as one of the case studies of the project, aiming to test how educators, trainers and researchers are able to find, reuse and exploit data resources created in one environment in very different contexts. The Agricultural Discovery Space is powered by the Agro-Know Data Framework and has been applied in the case of the Global Food Safety Partnership (GFSP) Demonstrator as a case study of SemaGrow. The new version of the Agricultural Discovery Space will be enhanced by the SemaGrow tools, leading to improved functionalities and advantages for the end users, including the following:
- Support & link heterogeneous data sources;
- Currently only specific data types are supported’
- New data types require new customized instances;
- Support reactive response discovery;
- Currently queries for two or more data types requires a parallel call to two or more APIs
- SemaGrow-powered Search API allows complex queries with less interaction
- Higher efficiency;
- Now: Each data type requires a new instance of the data platform
This means that the current version of the platform end users of this solution will get the following benefits:
- Provides users with the ability to access and reuse more resources of several types;
- Provides the capability to cover more information needs of users through APIs with higher expressivity;
- Support for a provenance mechanism for filtering the origin of resources in the response of a query;
- The current data platform becomes more robust and automatic = Minimize the effort required of vocabularies and metadata alignment;
- Interlinking and finding interesting relationships among ingested and non-ingested resources of several types;
The solution allows users to perform queries in multiple, heterogeneous data sources and retrieve results in less time compared to similar solutions based on traditional approaches. At the same time, developers also benefit from the SemaGrow-powered Agricultural Discovery Space, as the current version includes the following tools and components:
- an analytics tool in the API page to see how much the developers are interested in the API and which are the ones that are using it;
- a component that wraps the existing data platform Search API so it can be included in the SemaGrow end point;
- a component in the Search API that identifies developers e.g. an API key to be able to track developers;
- a component in the Search API that tracks queries and will combine them with timestamp and users
Of course there are still things that need to be done in the context of the SemaGrow project, that will affect the way that the Agricultural Data Framework operates and serves its users. We in Agro-Know believe that the final version of this solution will be able to serve major players in the agricultural research context, such as agrifood research organizations, networks of agrifood research organizations, agricultural universities etc. It should be noted that the current version of the Agricultural Data Framework is currently used for the support of the AGRIS bibliographic network, which consists of almost 8M bibliographic records.
For those not familiar with the project, SemaGrow: “Data Intensive Techniques to Boost the Real-Time Performance of Global Agricultural Data Infrastructures” is a research project partially funded by the Seventh Framework Programme (FP7) of the European Commision. SemaGrow aims to meet challenges posed by the carries out fundamental databases research and develops methods and infrastructure that will be rigorously tested on three large-scale current use cases as well as on their projected data growth beyond project’s end. The project works with big agri-food datasets in a Linked Open Data environment, providing a way to query such datasets and combining them, using algorithms and tools that allow real time performances. It is working on federation of SPARQL endpoints, developing algorithms to combine them and to allow many customizations, like the selection of the sources to be federated and the metrics for the combination. As a final outcomes, SemaGrow aims to lay the foundations for the scalable, efficient, and robust data services needed to take full advantage of the data-intensive and inter-disciplinary Science of 2020.