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Improving Scientific Search Engine Interfaces Using Scientific Networks

Schyns, J.L. (2019) Improving Scientific Search Engine Interfaces Using Scientific Networks.

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Abstract:Scientific networks make it possible to visualise the structure of research fields, how (and how closely) different topics are connected, and enable spotting of emergent research. These networks have the potential to improve scientific search. However, although large amounts of literature focus on prescribing how scientific search engines should be used, there is little research performed on how they are used in practice. This makes it challenging to assess the added value of scientific networks to that of scientific search engines, even though interviews with expert researchers indicate their potential usefulness. This work aimed to address this question with a user study, using a prototype search engine. Where is manipulated how search results are displayed.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Interaction Technology MSc (60030)
Link to this item:http://purl.utwente.nl/essays/80027
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