The AFP Medialab is a multi-disciplinary team of journalists and engineers.
AFP Medialab, originally set up within a multimedia development department in the early 2000s, is exploring new paths in information structuration, management and visualisation to create more attractive and interactive content.
AFP Medialab fosters innovative projects from the structuring of information (knowledge extraction, content annotation and semantic web) to new visualization systems (dynamic and geographically contextualized cartographies and mashups).
In addition to partnerships with innovative startups and innovative SMEs, AFP Medialab participates in several R&D projects with French or European funding.
InVID develops a knowledge verification platform to detect emerging stories and assess the reliability of newsworthy video files and content spread via social media.
The ASRAEL project develops a media events search engine that a journalist can query filtering on events attributes like asking a set of documents on earthquakes in Asia of magnitude > 7. This project is using Natural Language Processing (NLP) and semantic web techniques.
AFP Transcriber is an automatic speech analysis and audio transcription tool, allowing synchronization of text with video.
AFP 4W is a media event search engine and a generator of web pages, geographical mashups and interactive timelines.
Demo of an interactive video displaying different types of interactivity, like web sites, Twitter feeds and timelines.