Lora Aroyo is an Associate Professor at the Web & Media group, Department of Computer Science, VU University Amsterdam, The Netherlands. Within the framework of the Network Institute she is involved in several research projects focussing on semantic search, recommendation systems and event-driven access to multimedia collections online. Typical application domains of digital humanities, cultural heritage, interactive TV :
- DIVE: Event-centric Exploration of Linked Heritage
- VISTA-TV: Combining LOD and behavioral information for TV analyses
- SealincMedia: Socially-enriched Access to Linked Cultural Media
- PrestoPrime: WAISDA? Crowdsourcing Game for Video Annotation
- NoTube: integration of Web and TV data with the help of semantics
- CHIP: Cultural Heritage Information Personalization
I am collaborating with the IBM Watson team in NY on crowdsourcing ground truth data for the adaptation of the Watson system in medical domain [slides]:
- Dr. Watson: Gamification of Ground Truth Collection for Medical Texts
- Crowd-Watson: Framework for Crowdsourcing Ground Truth Data
- Crowd Truth: Metrics to Evaluate Crowdsourced Ground Truth Data
If you are looking for a bachelor, master or PhD project in the context of the projects above send Lora Aroyo an email or request an appointment. Check out also the current student projects.
Check also the experimental research facilities in our VU INTERTAIN Lab.
Last week, 13-Jun-2014, we published the first public release of the Crowd Truth framework. The CrowdTruth description document will give you an overall view of the framework components. The CrowdTruth Guidelines document will help you logging in and using the system. On github you can find the CrowdTruth Code and future updates.
Please, be aware that this is still work in progress, and not all things work perfectly – so don’t give up right away and send us email with feedback, so that we can repair the bugs. If you have any problems using it, please contact us Lora Aroyo and Chris Welty and we will be happy to help you through the system.
Today at the NLeSc, during the “De Geest Uit De Fles” event six new projects kick off their research in the area of eHumanities. As part of this, the Crowd-Watson project team will collaborate with NleSC researchers in the coming 12 months for the development of the next version of the Dr. Watson, a medical detective nichesourcing game. Here you can find my slides on “Crowds & Niches Teaching Machines to Diagnose”: