Dem@Care at ESWC2015 EU Project Networking Session

Dem@Care has been accepted at the EU Project Networking Session at ESWC 2015 that will take place on June 3, 2015 in Portoroz, Slovenia. 

MKLab collaborates in project to predict UK general election result

Researchers from Multimedia Knowledge and Social Media Analytics Laboratory collaborate with the University of Warwick and City University of London on a project where Twitter signals are leveraged to predict the outcome of the UK general election. They believe that their forecasts could be more accurate than traditional opinion polls.

Together, the team is using a framework that harvests political tweets, extracts various features about every party (e.g. volume of discussions) and then injects this information into public polling reports, producing a daily prediction of voting share.

With the outcome of the general election in terms of seats more uncertain than ever, this approach will provide crucial insights into how public opinion is developing and what factors might be influencing any changes in support. Early results of the system have already tracked the surge in support for the SNP and the fluctuating fortunes of UKIP.

H2020-KRISTINA launches a new website!

The H2020 project KRISTINA, started in March 1st, 2015, aims at developing a multilingual human-like socially competent agent that serves as a trusted information provision in questions related to basic care and healthcare. Read more in the new KRISTINA website here.

ITI becomes associate member of the Big Data Value Association

ITI and the Multimedia Knowledge and Social Media Analytics Lab have been accepted as associate member of the Big Data Value Association ( The aim of the BDVA is to provide a platform for stakeholders from the Big Data Value community in Europe to easily access information, exchange ideas and respond to activities concerning a Big Data Value initiative that is currently taking form at EU level. As a member, ITI and MKLab will contribute to the different task forces and activities of the association.

Two new H2020 projects are starting in spring 2015!

MKLab participates in two new Horizon 2020 projects: STEP and KRISTINA, which are starting in spring 2015. STEP deals with developing a cloud eParticipation SaaS platform, enhanced with web/social media mining, gamification, machine translation, and visualisation features, which will promote the societal and political participation of young people in the decision-making process on environmental issues. KRISTINA aims at developing a human-like socially competent agent that serves for migrants with language and cultural barriers in the host country as a trusted information provision party and mediator in questions related to basic care and healthcare.

We are happy to announce the availability of a valuable resource for the Multimedia and Computer Vision community

2nd International Workshop on Environmental Multimedia Retrieval (EMR2015)

MKLab at TRECVID 2014

MKLab participated again this year in the annual TRECVID benchmarking activity, organized by the US National Institute for Standards and Technology (NIST). MKLab participated in four TRECVID tasks: Semantic Indexing (SIN), Event Detection in Internet Multimedia (MED), Multimedia Event Recounting (MER), and Instance Search (INS). Our results in these tasks were very good, significantly improving the results we had obtained in previous years.

Accepted paper at Brain Research Journal

The paper "Brain source localization of MMN, P300 and N400: aging and gender differences" by A. Tsolaki, V. Kosmidou, L. Hadjileontiadis, I. Kompatsiaris and M. Tsolaki, has been accepted for publication in the Brain Research Journal, Elsevier (IF=2,828). This work has been supported by the ARISTEIA project CBPCognitive Brain signal Processing lab.

Accepted paper at the Environmental Modelling & Software Journal

The paper "Fusion of meteorological and air quality data extracted from the web for personalized environmental information services" by L. Johansson, V. Epitropou, K. Karatzas, A. Karppinen, L. Wanner, S. Vrochidis, A. Bassoukos, J. Kukkonen, I. Kompatsiaris, has been accepted for publication in the Environmental Modelling & Software Journal, Elsevier (IF=4,538).