Abstract
Web surfers often face the need for additional information beyond the page they are currently reading. While such related material is available in digital library repositories, finding it within these repositories can be a challenging task. In order to ease the burden for the user, we present an approach to construct queries automatically from a textual paragraph. Named entities from the paragraph and a query scheme, which includes the topic of the paragraph form the two pillars of this approach, which is applicable to any search system, that supports keyword queries. Evaluation results point towards users not being able to find optimal queries and needing support in doing so.
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Notes
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The setup is documented in the project repository https://github.com/schloett/p2q alongside with further material, like the log files collected during the user study.
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Acknowledgments
The presented work was developed within the EEXCESS project funded by the European Union Seventh Framework Programme FP7/2007-2013 under grant agreement number 600601.
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Schlötterer, J., Seifert, C., Granitzer, M. (2016). Supporting Web Surfers in Finding Related Material in Digital Library Repositories. In: Fuhr, N., Kovács, L., Risse, T., Nejdl, W. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2016. Lecture Notes in Computer Science(), vol 9819. Springer, Cham. https://doi.org/10.1007/978-3-319-43997-6_38
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DOI: https://doi.org/10.1007/978-3-319-43997-6_38
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