Toward Binding Database Interfaces with Scientific Papers
Observatoire astronomique de Strasbourg, Université de Strasbourg, CNRS, UMR, 7550, 11 rue del’Université, F-67000 Strasbourg, France
2 UTBM, Rue de Leupe, 90400 Sevenans, France
* e-mail: firstname.lastname@example.org ORCID: 0000-0001-5702-0019
Published online: 27 July 2018
Despite a large variety of facilities helping to either select or manipulate data from Web interfaces, it remains diffcult to provide users with relevant scientific or technical annotations for those data. Introducing such content by hand into a Web interface is a tedious job with a risk of providing in complete or inadequate content. To overcome this diffculty, we are exploring the possibility of using the names of exposed quantities to index a text corpus. This index can be used to show the most relevant text snippets in a given context. The full text can be displayed by user request and automatically scroll down to that snippet. Our approach is based on the conversion of PDF papers into machinereadable files that are indexed by a search engine. Index entries are reported as PDF annotations that are used to control the display. This workflow has been tested on the IVOA standard corpus as a proof of concept. It has then been applied to the XMM-Newtonuser guides for our catalog interface. Finally, it has been adapted to find resources within portals exposing a lot of various data collections.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.