The goal of this project is to develop an open source Application Lifecycle Management platform that automates and supports the whole software development lifecycle by integrating the best existing open source tools.
Storage research increasingly gains importance based on the tremendous need for storage capacity and I/O performance. Over the past years, several trends have considerably changed the design of storage systems, starting from new storage media over the widespread use of storage area networks, up to grid and cloud storage concepts. Furthermore, to achieve cost efficiency, storage systems are increasingly assembled from commodity components. Thus, we are in the middle of an evolution towards a new storage architecture made of many decentralized commodity components with increased processing and communication capabilities, which requires the introduction of new concepts to benefit from the resulting architectural opportunities.
BabelData will develop methods, techniques and algorithms to provide a set of services able to create, manage and reuse multilingual ontologies and data.
In the development of the Semantic Web of the future, multilinguality has emerged as one of the major challenges. Despite considering knowledge processing on the Semantic Web as being inherently independent of any natural language, the interaction between humans and machines will remain language-dependent.
In this project we will create a platform that will integrate new methods, techniques and tools to allow the ontology-based integration of heterogeneous scientific data sources, reusing the advances done in this area during the last two decades and incorporating new types of data sources coming from social networks of researchers, from the Linked Data cloud and from sensor networks.
PlanetData is a network of Excellence whose aim is to establish a sustainable European community of researchers that supports organizations in exposing their data in new and useful ways, increasing the ability of organizations to effectively and efficiently make sense out of the enormous amounts of data continuously published online, including structured and unstructured data, data streams, (micro) blog posts, digital archives, eScience resources, public sector data sets, and the Linked Open Data Cloud.
Wf4Ever will propose and develop a software architecture and reference implementation for the preservation and efficient retrieval and reuse of digital libraries of scientific workflows, addressing some of the biggest challenges standing in data-intensive Science:
CIUDAD2020 is an Impronta Project whose aims are twofold: to push forward the areas of energy efficiency, human behaviour, environmental sustainability, transport and mobility, along with the Internet of the future and the Internet of Things; and to design the city of the future, which should be sustainable, intelligent and efficient.