@incollection{year={2013}, abstract = {Finding information in unknown, large data sets is not an easy task, especially if they consist of documents in an unfamiliar domain. A collection of several hundred technical reports has been analyzed in order to organize it for efficient and fluent searching, browsing, navigation and even exploration.We describe a user study on an interactive system – the EFB-Explorer – that visualizes the data set by different attributes to reflect the specific relevance of a retrieved document to a user’s query and offers easy-to-use zooming interaction as well as semantic zooming.}, added-at = {2013-08-05T15:21:12.000+0200}, author = {Nitsche, Marcus and Haun, Stefan and Nürnberger, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/2e3003b85dcabddd12a459bae0e336dd6/mnitsche}, booktitle = {HCI International 2013 - Posters’ Extended Abstracts}, doi = {10.1007/978-3-642-39476-8_90}, editor = {Stephanidis, Constantine}, interhash = {f1a4035cd016ae8fdd3e1c40543e1e5f}, intrahash = {e3003b85dcabddd12a459bae0e336dd6}, isbn = {978-3-642-39475-1}, keywords = {dke myown}, pages = {445-449}, publisher = {Springer Berlin Heidelberg}, series = {Communications in Computer and Information Science}, timestamp = {2014-01-10T15:00:45.000+0100}, title = {Exploring Technical Documents: A Prototype Study}, url = {http://dx.doi.org/10.1007/978-3-642-39476-8_90}, volume = 374, year = 2013 }
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