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Search for any object you can think of – AXES is a self-learning system (image source wikipedia)

You ever wondered how to make a visual search in a video? You would like to look for a particular person, a well-known politician or a person of contemporary history? You need to find a particular object such as a car, a house or a building? If you currently want to make these kinds of searches on your video collection, you may have a hard time. Use AXES!

Date

Wednesday, June 10th, 2015

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Navigating the world of emotions!

Mixed Emotions LogoMixedEmotions creates large-scale emotion analysis for innovative markets. So far, it has been challenging to fully make sense of big data analytics from different sources, modalities and languages in an industrial context. MixedEmotions aims to change that.

Date

Thursday, June 4th, 2015

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What’s Your Data Story?

YourDataStories_logoData is everywhere nowadays, from social media to goverment spendings. But how to make sense of it all, how to access the relevant information within?

YourDataStories (YDS) takes a closer look at Open Government Data (OGD) to find a way to make this information easily accessible, understandable, transparent and sharable for everyone.

YDS focuses on methods from data-driven-journalism (#ddj) and data-visualisation (#dataviz), building a solution that allows for easy discovery, analysis and interpretation of #opendata. The aim of the project is to create an ‘interactive canvas’ enabling citizens to write their own data stories and share them across the web.

The development will be driven by three different use cases dealing with public expenditure in Greece and Ireland as well as the spending and effect of development aid from the Netherlands, increasing transparency in these important areas of public interest.

The project runs from February 2015 – January 2018.

Bring me to the YourDataStories website | Twitter: @YDS_EU

Date

Wednesday, April 15th, 2015

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How we made data evaluation more fun

Social Sensore Evaluation app - whole screen wsOur participation in EU projects often gets us involved in the dissemination and evaluation of the projects’ results. Using the example of Social Sensor , this article explains how we used an iPad app to support us in both tasks.

Date

Thursday, December 18th, 2014

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Real-time Analysis and Processing of Heterogeneous News Streams with Big Data Technologies

News-Stream 3.0NEWS-STREAM 3.0 aims to develop editorial systems and tools within a Big-Data-Architecture. They support journalists in filtering out relevant information from heterogeneous data streams in a fast and reliable way. In addition, journalists are supported in reviewing and verifying filtered information and to categorise data according to context. Journalists will be able to process in near real-time highly dynamic, unstructured data streams from “open data” sources, sensors and social media. At the same time they can enrich this information with structured internal archive material, external knowledge bases and Linked-Open-Data. The News-Stream 3.0 system allows a fused perspective on diverse sources and enables multimodal, contextualised, real-time journalistic research.

The News-Stream 3.0 system provides media and news providers with relevant technologies, which ensure that the task of core journalism can be effectively conducted in a data driven media future.

Deutsche Welle is a user partner with two journalistic use cases: 1. Automatic filtering and aggregation of multiple sources, and 2. Computer Assisted Reporting. Other tasks are the provision of archive material and practical testing of the pilot system.

The project runs from November 2014 – December 2017.

Bring me to the News-Stream 3.0 website | Twitter: @wearenewsstream

Date

Thursday, December 11th, 2014

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Multilingual media monitoring with smart content analysis

MULTISENSOR_LogoMULTISENSOR is developing new multilingual online media analysis technologies. The aim is to enable professional media monitors (e.g. journalists, press agencies, analysts) to attain a comprehensive and exact understanding of topics being discussed on the web.

The MULTISENSOR platform scans multiple heterogeneous sources, then translates and processes the content. It visualizes details about sentiment, entities, social and other important aspects necessary to provide context. Adding automated summarization of each content item MULTISENSOR helps you to better distinguish the relevant signals among the noise.

Deutsche Welle is a user partner, leading the use case development and requirements gathering. We are also involved in dissemination and evaluation of the project’s results.

The project runs from November 2013 – November 2016.

Bring me to the MULTISENSOR website

Date

Friday, August 15th, 2014

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Business Continuity as a Service

Orbit-log-black

ORBIT focuses on cloud solutions to reduce outages and ensure business continuity. Public life is becoming more and more dependent on internet based services, such as communication, banking, logistics, travels, and media – to name just a few.

In order to master these challenges, ORBIT introduces a new solution for cloud infrastructures. For the first time it will be possible to migrate critical enterprise workloads to the cloud without compromising availability or performance of the system.

The Deutsche Welle Innovation team will add its expertise in journalistic/media requirements as well as application development. It will also be involved in software testing and in dissemination activities, promoting the research project.

The project runs from October 2013 – February 2016.

Bring me to the ORBIT website

Date

Friday, March 7th, 2014

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Social Media Verification

Logo of REVEAL ProjectREVEAL focuses on verification technologies, tools and strategies. The project aims to aid journalists in identifying trustworthy (user generated) content on Social Networks. This includes assessing aspects such as the credibility of contributors, their reputation and influence, the quality of content items and much more.

To master these challenging research questions the project consortium consists of 11 partners. It brings together a set of complementary expertise, ranging from the legal sector (Catholic University Leuven) to the area of software development (Software AG).

The Deutsche Welle Innovation team will add its expertise in journalistic/media requirements as well as application development. It will also be involved in software testing and in dissemination activities, promoting the research project.

The project runs from November 2013 – October 2016.

Bring me to the REVEAL website

Date

Wednesday, January 29th, 2014

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Event Understanding through Multimodal Social Stream Interpretation

Logo of EUMSSI ProjectEUMSSI 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.

The resulting platform will be potentially useful for any application in need of cross-media data analysis and interpretation, such as intelligent content management systems, personalized recommendation, real time event tracking, content filtering, etc.

Deutsche Welle is a user partner and develops the journalistic use case. It will also lead the user requirements analysis and contribute to user validation and dissemination tasks.

The project runs from December 2013 – November 2016.

Bring me to the EUMSSI website

Date

Friday, January 10th, 2014

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Socialising Around Media

SAM - socialising around media

SAM is about the multiscreen media environment, where people consume and interact with content on multiple screens – alongside with other digital and social activities. This new media ecosystem consists of connected “Second” Screen devices, enriched media and TV experiences, user engagement and social interaction. But do media content creators and users have the right tools and platforms to make the most of these new opportunities?

SAM develops a new type of social media and content delivery platform by combining technologies such as Content Syndication, Second Screen, Social Media and Dialogue Systems. What is Sam’s innovation? Instead of users reaching for TV related data it is the data, which reaches the user through a content syndication approach and their “Second” Screen.

Deutsche Welle is a user partner and contributes to a Second Screen content showcase, user requirements, user validation and is lead of dissemination.

The project runs from October 2013 – October 2016.

Bring me to the SAM website

Date

Wednesday, October 9th, 2013

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