by Adam Agocs, Dimitris Dardanis, Richard Forster, Jean-Marie Le Goff, Xavier Ouvrard and André Rattinger (CERN)

Collaboration Spotting (CS) is a visualisation and navigation platform for large and complex datasets. It uses graphs and semantic and structural data abstraction techniques to assist domain experts in creating knowledge out of big data.

by Alejandro Moreo Fernández, Andrea Esuli and Fabrizio Sebastiani

Researchers from ISTI-CNR, Pisa (in a joint effort with the Qatar Computing Research Institute), have developed a transfer learning method that allows cross-domain and cross-lingual sentiment classification to be performed accurately and efficiently. This means sentiment classification efforts can leverage training data originally developed for performing sentiment classification on other domains and/or in other languages.

by Evaggelia Pitoura (University of Ioannina), Irini Fundulaki (FORTH) and Serge Abiteboul (Inria & ENS Cachan)

Bias in online information has recently become a pressing issue, with search engines, social networks and recommendation services being accused of exhibiting some form of bias. Here, we make the case for a systematic approach towards measuring bias. To this end, we outline the necessary components for realising a system for measuring bias in online information, and we highlight the related research challenges.

by Alessia Amelio (Univ. of Calabria)

The similarity between images can be computed using a new method that compares image patches where a portion of pixels is omitted at regular intervals. The method is accurate and reduces execution time relative to conventional methods.

by Nadine Sturm, Doris M. Bleier and Gerhard Chroust (Johanniter Österreich Ausbildung und Forschung gemeinnützige GmbH)

Aging of the population is a major concern in the European Union. “AHA – Active and Healthy Aging” is a multi-facetted and systemic approach in order to compensate for the diminishing capabilities of seniors. The project my-AHA is based on reducing frailty through targeted, personalised ICT-based interventions.

by Erina Ferro (ISTI-CNR)

The National Research Council of Italy (CNR) is involved in the E-Cabin project, which aims to create a futuristic and intelligent cabin in order both to improve the well-being and satisfaction of passengers and to minimize the on-board waste by using advanced consumption control.

by Klaus Kieseberg, Peter Kieseberg and Edgar Weippl: (SBA Research)

Underground marketplaces, which represent one of the most prominent examples for criminal activities in the Darknet, form their own economic ecosystems, often connected to cyber-attacks against critical infrastructures. Retrieving first-hand information on emerging trends in these ecosystems is thus of vital importance for law enforcement, as well as critical infrastructure protection.

by Nikos Minadakis, Kostas Petrakis, Korina Doerr and Martin Doerr (FORTH)

RDF Visualiser is a generic browsing mechanism that gives the user a flexible, highly configurable, detailed overview of an RDF dataset / database, designed and developed to overcome the drawbacks of the existing RDF data visualisation methods/tools. RDFV is currently used in EU research projects by the 3M editor of the X3ML suite of tools and has been tested with large datasets from the British Museum and the American Art Collaborative project.

by Michalis Mountantonakis  and Yannis Tzitzikas (ICS-FORTH)

LODsyndesis is a new suite of services that helps the user to exploit the linked data cloud.

by Christophe Ponsard, Jean Vanderdonckt and Lyse Saintjean (CETIC)

Many means of navigating our physical world are now available electronically: maps, streets, schedules, points of interest, etc. While this “digital clone” is continually expanding both in completeness and accessibility, an interesting interplay scenario arises between physical and digital worlds that can benefit all of us, especially the mobility-impaired.

by Xander F. van Kooten, Federico Paratore (Israel Institute of Technology and IBM Research – Zurich), Moran Bercovici (Israel Institute of Technology) and Govind V. Kaigala IBM Research – Zurich)

Highly sensitive and specific biochemical assays can provide accurate information about the physiological state of an individual. Leveraging microtechnology, we are developing miniaturised analytical tools for precise and fast biomolecular analysis. This work is being performed within the scope of the EU-funded project ‘Virtual Vials’ between IBM Research – Zurich and Technion – Israel Institute of Technology in Haifa.