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Supporting Evolving Search Tasks in Digital Environments via Fuzzy String Matching

Tampere University

The goal of the research is to understand and support the human processes of accessing digital cultural heritage collections by (i) studying information interactions and ii)  facilitating better access to the collections with tool development. The research is based on the task-based information interaction paradigm. By studying the use of digital collections in authentic work tasks we are able to create better methods and tools, which contribute to work task processes by supporting information interaction.  

We focus on understanding interactions, work flows and search patterns in information intensive tasks, and developing methods to support searching and exploration of information.

Background

The research is part of the activities of the FIRE (Finnish Information Retrieval Expert Group).

Goal

Our point of view is to approach the challenges of digital cultural heritage collections - and the corresponding retrieval and evaluation methods - from the point of view of the needs of the users, as opposed to a data-centric view. We aim at improved understanding of the information interactions of the end users, and to develop support methods via multi-disciplinary national and international cooperation.

Funding source

Academy of Finland

Contact persons

Heikki Keskustalo

Responsible leader

Heikki.Keskustalo [at] staff.uta.fi

+358 50 378 3066

 

Sanna Kumpulainen

Postdoctoral researcher

Sanna.Kumpulainen [at] staff.uta.fi

 

Boyang Zhang

Postdoctoral researcher

Boyang.Zhang [at] staff.uta.fi