To the general public, Europeana is primarily perceived as a portal exposing a great amount of cultural heritage information. Even though this perception is not entirely misleading, the main goal of Europeana is rather to build an open services platform enabling users and cultural institutions to access and manage a large collection of surrogate objects representing digital and digitized content via an application program interface (API). The paper covers some details of the overall data space schema, of the API description and of the Europeana Portal implementation; it also discusses use cases and the mental approach that users, in particular cultural institutions, should adopt to completely exploit the potential of the Europeana services platform together with a discussion of related risks. The authors represent key players in the Europeana specification, development and implementation process currently under way.
Virtual Research Environments (VREs) aim to support multidisciplinary research and collaboration between researchers, but face great challenges from data heterogeneity, user experience issues, and fast changes to datasets. This complicates research on multidisciplinary societal challenges. The objective of this paper is to present a reference architecture and components that can be (re)used to construct a general, domain-specific or cross-domain enhanced VRE (e-VRE) that enhances FAIRness of data and process interoperability across research infrastructures. The e-VRE makes it easier to conduct multidisciplinary research by assisting the researcher in accessing and utilising the assets of research, commonly stored in digital Research Infrastructures. The reference architecture also reduces complexity by interfacing with research management systems.
The key idea underlying many Ambient Intelligence (AmI) projects and applications is context awareness, which is based mainly on their capacity to identify users and their locations. The actual computing capacity should remain in the background, in the periphery of our awareness, and should only move to the center if and when necessary. Computing thus becomes ‘invisible’, as it is embedded in the environment and everyday objects. The research project described herein aims to realize an Ambient Intelligence-based environment able to improve users' quality of life by learning their habits and anticipating their needs. This environment is part of an adaptive, context-aware framework designed to make today's incompatible heterogeneous domotic systems fully interoperable, not only for connecting sensors and actuators, but for providing comprehensive connections of devices to users. The solution is a middleware architecture based on open and widely recognized standards capable of abstracting the peculiarities of underlying heterogeneous technologies and enabling them to co-exist and interwork, without however eliminating their differences. At the highest level of this infrastructure, the Ambient Intelligence framework, integrated with the domotic sensors, can enable the system to recognize any unusual or dangerous situations and anticipate health problems or special user needs in a technological living environment, such as a house or a public space.
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