- research themes
- research groups
- Algorithms and Complexity
- Computational Imaging
- Database Architectures
- Distributed and Interactive Systems
- Formal Methods
- Information Access
- Intelligent and Autonomous Systems
- Life Sciences
- Machine Learning
- Multiscale Dynamics
- Networks and Optimization
- Scientific Computing
- Software Analysis and Transformation
- research staff
- In brief
Leader of the group Information Access (IA): Jacco van Ossenbruggen
The Information Access research group investigates how access to information can be improved with humans ‘in the loop’, in the context of the rich heterogeneous information collections that arise as dataspaces; a relatively new concept introduced in the database field that simply refers to all data in scope of an entity (an organisation, a person, but also a smart home).
From a bottom-up, data-driven perspective, we aim to understand how an information system’s internal representations should evolve based on observed interactions: a mix of implicit user annotations (e.g., query-click pairs) and explicit ones, both automatically derived descriptions using computer vision and natural language processing as well as manually provided annotations, including traditional metadata as well as tags and mentions in social media.
From a top-down perspective, the question is how to design key abstractions in the user interface that maximize the support of the end user's task while minimizing the assumptions about the (structure of) the heterogeneous data.
In both perspectives, entities play a central role; they provide relatively unambiguous pieces of information that may play a role as anchors between the user’s information need and the representations available to the system.
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The interactive information access group takes part in NWO Catch project WebART, COMMIT projects Sealinc and Infiniti, as well as EU projects Fish4knowledge and LinkedTV. We are a member of the MUMIA cost action.
We are closely connected to CWI's spin-off company Spinque.