Introdution | Use Cases | Architecture | Team | Publications
The WUDE (Web User Demand Elicitation) project is part (work package 5) of the SEALINCMedia project (work package five), an initiative of the FES program COMMIT.
SEALINCMedia has the objective to develop solutions to enrich cultural heritage collections using Internet-enabled reliable, scalable and cost effective collaborative content curation and to improve accessibility through advanced personalized content recommendation and search functionalities.
In the context of SEALINCMedia, WUDE aims at providing a framework for user modeling and demand elicitation with an application in crowdsourcing and niche-sourcing, tailored to the needs of cultural data management organizations. By capitalizing on the experience of the Web Information System group in adaptive Web-based systems and social-computation, WUDE will tap the Social Web and human computation platforms to provide the knowledge required for the design and execution of efficient and effective crowdsourcing campaigns.
To achieve such an ambitious goal, WUDE will develop methods and tools aimed at
The WUDE framework (components and tools) is built on top of the U-Sem infrastructure, and it enriches the offered set of user modeling service with components specifically targeted to the elicitation of Web user properties related to the assessment of their content enrichment capabilities. In addition, the WUDE framework integrates with Accurator (a framework for the execution and evaluation of strategies and applications for personalized nichesourcing), powering it with methods for task design and control, and external platform for human computation and games with a purpose.
The WUDE framework is currently under development and tested on a rich set of use cases.
Cultural heritage institutions are faced with the challenging problem of making their collections available to an increasing number and variety of users. The access to such valuable items is constrained by the availability of good quality annotations, a scarce yet expensive resource to obtain. The goal of WUDE is to make the acquisition of high quality annotations for cultural heritage collections easier and cheaper. Together with Heritage Delft and surroundings and Cit, WUDE will develop methods and techniques for the involvement of crowds and niches in the content analysis and annotation process, studying suitable identification, engagement, and incentivisation techniques.
Large collections of audiovisual materials demand advanced search and recommendation techniques to provide better access and browsing capabilities. To this end, the availability of advanced user modeling and user-needs elicitation techniques can help improving the diversification and exploration capabilities of content access techniques. Together with the project partners The Netherlands Institute for Sound and Vision, and Gridline, WUDE will study advance techniques to embed the preferences and opinions of users and communities in content recommendation and search systems.
The architecture of the WUDE framework (depicted in the figure above) blends together state-of-the-art components for user and performer analysis and identification, social network and human computation platforms integration, task and workflow design, execution, and control.
The bottom layer contains the orchestration and analysis logic required to elicit relevant features from potential performers.
At the middle layer, the actual crowdsourcing takes place: the crowd flows are modeled and designed , the experiment launched and monitored, and the results collected and analyzed.
At the top layer, the WUDE framework is exploited for the specific application, such as the ones composing our set of use cases.
The WUDE project is conducted in collaboration with five partners: Delft University of Technology, Heritage Delft and surroundings, Cit, The Netherlands Institute for Sound and Vision, and Gridline.
From Delft University of Technology one PhD student, Jasper Oosterman, and two staff members, Prof. Geert-Jan Houben and Alessandro Bozzon are involved.
Personalization in Crowd-driven Annotation for Cultural Heritage Collections
C. Dijkshoorn, J. Oosterman, L. Aroyo, G.J Houben in: PATCH 2012, Proceedings of the 4th International Workshop on Personalized Access to Cultural Heritage, July 17th 2012. (PDF)
Nichesourcing Specific Knowledge for Cultural Heritage Institutions
J. Oosterman, C. Dijkshoorn, M.H.R. Leyssen, M.C. Traub, A. Nottamkandath at: ICT OPEN 2012, 23-23 October, Rotterdam, The Netherlands. (PDF)
