Related EU Projects and Initiatives
Collaboration with other (EC co-funded) projects often leads to new insights or a head start in research or software development efforts.
Below we present a list of research projects and activities in the REVEAL EC research cluster and topic area that deal with related topics. Working contacts have already been established with those marked with *.
REVEAL has joined forces and is a member of the newly created European Center for Social Media. As its name suggests, the aim of the initiative is to connect Social Media initiatives from all over Europe, “supporting the organisation of social media technologic and marketing activities, training and dissemination venues.” The center’s organisers can be contacted via e-mail at email@example.com.
PHEME (subtitle: Computing Veracity – the Fourth Challenge of Big Data) deals with the identification of so-called “phemes” (described as memes enhanced with truthful information), modeling their spread across social networks and online media. The focus is on aspects of speculation, controversy, misinformation and disinformation. PHEME runs for three years from 1 January 2014 until 31 December 2016.
Newsreader deals with structured event Indexes of large volumes of financial and economic Data for Decision Making. NewsReader will process news in 4 different languages when it is published. It will extract what happened to whom, when and where, removing duplication, complementing information, registering inconsistencies and keeping track of the original sources. Any new information is integrated with the past, distinguishing the new from the old in an unfolding story line.
A new framework for multimedia indexing and search in social media via the concept of dynamic Social Containers. It is relevant due to the application in integrating social content in news creation, enhanced ability for personalized recommendations and the composite event definitions that support personalization.
Online communities generate major economic value and form pivotal parts of corporate expertise management, marketing, product support, CRM, product innovation and advertising. Communities can exceed millions of users and infrastructures must support hundreds of millions discussion threads that link together billions of posts. The ROBUST project is targeted at developing methods to understand and manage the business, social and economic objectives of the users, providers and hosts and to meet the challenges of scale and growth in large communities.
Sense4us is about giving policy-makers and specialists the resources and methodology to be able to access current data and take the views of the citizens into consideration when forming policies. The Sense4us project aims to cover this need for tools and techniques and to create a toolkit that will support information gathering, analyzing and policy modelling in real time.
CUbRIK works on enhancing the quality of search experience by augmenting the precision and the relevance of results when machine intelligence fails or is unable to remove uncertainty. The approach is not to emulate, but rather to incorporate human and social capabilities from feature extraction to search and validation of multimedia content. As CUbRIK says; we, humans, still have a lot to teach machines about semantic understanding of multimedia content!
EUMSSI aims to develop technologies for identifying and aggregating unstructured data with different levels of granularity from both new and traditional media sources. The planned multimodal search will focus on high-level semantic, conceptual and event-centered representation while allowing for strong interoperability and interactive reinforcement of the data aggregation.
USEMP aims to empower data subjects with regard to the sharing of their personal data, which is increasingly becoming part of a largely invisible economy where personal data is the currency. Personal Data Ecosystems (PDE) refers to an architecture that (1) returns a measure of control to the users of online and offline services that require the sharing of information, and (2) provides a measure of transparency as to who profits how from processing and sharing their data.
HUMANE develops a typology of human-machine networks and a method for its use. The aim of the HUMANE typology and method is to aid system designers develop new and successful systems in order to improve both public and private services. In order to achieve this, HUMANE is collaborating with related Research and Innovation (R&I) projects, which provide uses cases for developing and validating the HUMANE typology and method.
InVID ((In Video Veritas) tackles a related issue: the verification of user-geneated video content. InVID aims to assist in and partly automate the verification of videos captured by eyewitnesses. A main goal of the projects is to make such videos usable for news providers for inclusion in their reporting, situation assessment, publication and the like. REVEAL partners Deutsche Welle and CERTH-ITI participate in both Reveal and InVID – this will ensure that project outcomes and work perforemed will find its way into the repective other project.