• Tor Dokken (SINTEF, Norway -IQmulus)
  • Alejandra Garcia Rojas (Ontos AG – GeoKnow)
  • Manolis Koubarakis (LEO)
  • Jon Blower (University of Reading, UK -MELODIES)



Project web-site:

GeoKnow addresses the problem of linking geospatial data from heterogeneous information systems and uses the web as a platform to exploit this data. The project will provide a comprehensive toolset of easy-to-use applications covering a range of possible usage scenarios (e.g. mobility/traffic, energy/water, culture, etc). Its goals are to bring geospatial knowledge integration to the Linked Data Web, billion-triple geospatial reasoning and data provenance, qualitative interlinking and fusing of geospatial and semantic information, and adaptive geospatial exploration, authoring and curation.



Project web-site:

A lot of remotely sensed data coming from satellites has become available at no charge in Europe and the US recently, and there is a strong push for more open Earth Observation data. Open Earth Observation data that are currently made available by space agencies (e.g., ESA and NASA) are not following the linked data paradigm. In LEO, the core academic partners of TELEIOS (UoA and CWI) join forces with 2 SMEs and one industrial partner with relevant experience (SA, VISTA and PCA) to develop software tools that support the whole life cycle of reuse of linked open EO data and related linked geospatial data. Finally, to demonstrate the benefits of linked open EO data and its combination with linked geospatial to the European economy, a precision farming application is developed that is heavily based on such data.


Project web-site:

The MELODIES project brings together sixteen partners from eight European countries to develop eight new innovative and sustainableservices, based upon Open Data, combining Earth Observation data with other data sources to produce new information for the benefit of scientists, industry, government decision-makers, public service providers and citizens. The long-term sustainability of the services is being assessed critically throughout the project from a number of angles (technical, political and economic), in order to ensure that the full benefits of the MELODIES project are realised in the long term.


iqumulusProject web-site:

IQmulus aims at the development and integration of an infrastructure and platform that will support critical decision-making processing in geospatial applications by setting the following research objectives:

Develop a system for the fusion and integration of very large, highly heterogeneous spatial data sets of different provenance, integrating processing and visualisation.

  • Developing a system for the fusion and integration of very large, highly heterogeneous spatial data sets such as n-dimensional grid and non-grid coverages and point clouds of different provenance, including processing and visualisation;
  • Creating a model for hierarchic, domain-specific languages with which algorithms for processing of coverages and point clouds;
  • Building a spatial data processing middleware that abstracts from different parallel and distributed processing infrastructures;


Project web-site:

Scalable end-user access to Big Data is critical for e ffective data analysis and value creation. Optique will bring about a paradigm shift for data access:

  • by providing a semantic end-to-end connection between users and data sources;
  • enabling users to rapidly formulate intuitive queries using familiar vocabularies and conceptualisations;
  • seamlessly integrating data spread across multiple distributed data sources, including streaming sources;
  • exploiting massive parallelism for scalability far beyond traditional RDBMSs and thus reducing the turnaround time for information requests to minutes rather than days.

These objectives will be achieved by bringing together leading experts and cutting edge technology from diverse communities to develop an extensible platform that will provide a complete and generic solution to the data access challenges posed by Big Data.


Project web-site:

The DaPaaS research project has developed DataGraft, a tool which accelerates and simplifies the linked open data publication, consumption and reuse cycle.

The project combines data-as-a-service theories with the practical transformation and use of open and linked data to create a simple and cost-effective solution which will improve linked open data access. The goal is to reduce the barriers of insufficient resources or experience and allow everyone from developers, to SMEs and small public bodies to contribute to the open data landscape, and expand the linked open data cloud.


Project web-site:

Property data are one of the most valuable datasets managed by governments worldwide and extensively used in various domains by private and public organizations. Unfortunately these data are not always easy to access. House and property data is used in a variety of ways to produce value added information within and across several business sectors, including real estate and debt collection. Such sectors suffer from a lack of innovation due to a fragmented data ecosystem which makes it difficult to access relevant datasets. This hampers innovation, protects incumbents and promotes rent-seeking business models. The difficulty in creating a single, open data market partly depends on the fact that some governmental agencies are currently making significant revenues on selling data to a restricted number of business players in the private sector. However, several studies, demonstrated that the transaction costs for government agencies tend to be very high, and often make selling the data non-profitable.


SmartOpenData sod

Project web-site:

SmartOpenData will create a Linked Open Data infrastructure (including software tools and data) fed by public and freely available data resources, existing sources for biodiversity and environment protection and research in rural and European protected areas and its National Parks.

This will provide opportunities for SMEs to generate new innovative products and services that can lead to new businesses in the environmental, regional decision-making and policy areas among others. The value of the data will be greatly enhanced by making it available through a common query language that gives access to related datasets available in the linked open data cloud.

The commonality of data structure and query language will overcome the monolingual nature of typical datasets, making them available in multiple languages.