AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts.
About this tool
The Big Policy Canvas Knowledge Base is a state-of-the-art, online and dynamic repository that functions as an accumulator uniting all the knowledge produced during the project. It is structured along the three dimensions of needs, trends and assets and furthermore offers a mapping among them by defining how they are interconnected and how they influence each other.
Knowledge base data visualization
Explore the knowledge base data graph.
Improve the Knowledge Base
Are you aware of an asset that can help enrich the BPC KB? Share it with us and be named contributors to our work.
OpenAIRE is a legal entity supporting the distributed infrastructure for open science in Europe and a European open science policy collaboration network.
OpenAIRE undertakes the following functions: (a) offers services such as a search engine for scholarly works and further support services such as the linking of research results by using text mining techniques, (b) offers guidelines and information on open science policies, (c) is a training provider on how to implement open science, (d) connects researchers to a research community.
The Big Data Test Infrastructure (BDTI) is a building block of the Connecting Europe Facility (CEF). It provides a set of services to help public administrations explore and experiment with various data sources, software tools and methodologies.
The DCAT Application Profile for data portals (DCAT-AP) is a specification based on the Data Catalogue vocabulary (DCAT) for describing public sector datasets in Europe. Its basic use case is to enable cross-data portal search (primary Open Data Portals) for data sets and make public sector data better searchable across borders and sectors. This can be achieved by the exchange of descriptions of datasets among data portals.
A Cloud-based video platform to analyse traffic movements. The German part of the project by Fraunhofer HHS aims to develop low-complexity, real-time algorithms for analysis of large-scale visual data. In consideration of increasingly growing cities in European industrial countries it becomes more and more important that the traffic situation has to be optimised. The service tries to solve this issue by analysing data streams to discover free park spaces for
Saudi Arabia, currently offers MASAR a real-time tracking system, to create more space between the streets of Mecca and Medina, the most holy cities of ISLAM (Shia and Suni) during the days of Hadji. For this reason, the house AL Saud has created a Smart city research centre for Crowd Control (one of the biggest of the world). The researchers developed MASAR a tracking platform for guests and citizens to help them by planning their root towards the Kaaba
UrbanSim is a simulation platform for supporting planning and analysis of urban development, incorporating the interactions between land use, transportation, the economy, and the environment. UrbanSim leverages state-of-the-art urban simulation, 3D visualisation, and shared open data to empower users to explore, gain insights into, and develop and evaluate alternative plans to improve their communities
KNIME Analytics Platform is the open source software for creating data science applications and services. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone.
RapidMiner is an open source software platform for data science teams that unites data prep, machine learning, and predictive model deployment. It operates through visual programming and is capable of manipulating, analysing and modelling data. Its unified data science platform accelerates the building of complete analytical workflows – from data prep to machine learning to model validation to deployment – in a single environment, dramatically improving efficiency and shortening the time to value for data science projects
Pentaho is a Unified Data Integration and Analytics Platform that addresses the barriers that block an organisation’s ability to get value from all their data. The platform simplifies preparing and blending any data and includes a spectrum of tools to easily analyse, visualise, explore, report and predict. Open, embeddable and extensible, Pentaho is architected to ensure that each member of the team — from developers to business users — can easily translate data into value