caa a22 4500 445379650 CHVBK 20180317143013.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s10032-010-0135-3 doi (NATIONALLICENCE)springer-10.1007/s10032-010-0135-3 Digital weight watching: reconstruction of scanned documents [Elektronische Daten] [Maarten Marx, Tim Gielissen] A web portal providing access to over 250.000 scanned and OCRed cultural heritage documents is analyzed. The collection consists of the complete Dutch Hansard from 1917 to 1995. Each document consists of facsimile images of the original pages plus hidden OCRed text. The inclusion of images yields large file sizes of which less than 2% is the actual text. The search user interface of the portal provides poor ranking and not very informative document summaries (snippets). Thus, users are instrumental in weeding out non-relevant results. For that, they must assess the complete documents. This is a time-consuming and frustrating process because of long download and processing times of the large files. Instead of using the scanned images for relevance assessment, we propose to use a reconstruction of the original document from a purely semantic representation. Evaluation on the Dutch dataset shows that these reconstructions become two orders of magnitude smaller and still resemble the original to a high degree. In addition, they are easier to speed-read and evaluate for relevance, due to added hyperlinks and a presentation optimized for reading from a terminal. We describe the reconstruction process and evaluate the costs, the benefits, and the quality. The Author(s), 2010 XML nationallicence Information extraction nationallicence Scanned documents nationallicence Marx Maarten ISLA, University of Amsterdam, Science Park 107, 1098 XG, Amsterdam, The Netherlands aut Gielissen Tim ISLA, University of Amsterdam, Science Park 107, 1098 XG, Amsterdam, The Netherlands aut International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/2(2011-06-01), 229-239 1433-2833 14:2<229 2011 14 10032 https://doi.org/10.1007/s10032-010-0135-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-010-0135-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Marx Maarten ISLA, University of Amsterdam, Science Park 107, 1098 XG, Amsterdam, The Netherlands aut NATIONALLICENCE 700 1- Gielissen Tim ISLA, University of Amsterdam, Science Park 107, 1098 XG, Amsterdam, The Netherlands aut NATIONALLICENCE 773 0- International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/2(2011-06-01), 229-239 1433-2833 14:2<229 2011 14 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer