Created within TALIA and implemented within the Social and Creative HP, the tool allows to perform semantic searches, exploring the hidden and unknown connections among MED projects, pilots actions and private&public stakeholders belonging to a same or different thematic domain.
The Semantic Framework is a search engine tool based on the assessment of a collection of documents and deliverables coming from the past and current MED programming period and project outcomes. It has been devised to extract knowledge and strategic information from documents that will support the decision making and the strategic planning, in particular for funded projects analysis. It can be seen as an advanced decision support system able to deal with unstructured documents, which gives to different stakeholders and policy makers an unexpected view of the programme results in order to foster collaboration and innovation.
The Semantic Framework includes the following services:
- Smart Search or Discovery, able to retrieve documents according to user queries, and then rank these documents according to a relevance score, which can be computed using several approaches. Documents can be automatically summarized for a fast overview of their content.
- Policy Design Variables, defining a bottom-up approach which leverages the MED project outcomes, deliverables, and technical reports to unveil meaningful connections useful to the policy making process in terms of cross-correlation matrices to perform complex analysis. The system allows to create a cross-correlation matrix having on the rows and on the columns concepts which can be autonomously defined by users, by leveraging the knowledge contained in the collection of documents on which the analysis is performed.
- Indicator Benchmarking, a ‘self-diagnostic’ service assisting MED and EU regions in the development of place-based policies and strategies leveraging creative and social innovation. The system allows to perform several analyses on a specific region, such as the retrieval of a predefined set of indicators for that region.
In the last months, all services have been updated and improved, in particular the Indicator Benchmarking service implemented through a specific application of the Oriented Bayesian Nets (OBNs) tools, to build analyses which could help to improve the decision-making process by specific policy stakeholders. Starting from results of a cross-correlation matrix, the policy maker may select concepts and fill in a template to unveil the most correlated indicators in the Indicator Benchmarking, and leveraging data for those indicators to build OBNs.
Explore the [Smart Search] service
Explore the [Policy Design Variables] service
Explore the [Indicator Benchmarking] service