Abstract
Similar entity search by example is an important task in the area of retrieving information from semantic knowledge bases. In this paper we define a new interactive variant of this problem that is called iQbees for “Interactive Query-by-Example Entity Search” and is an extension of a previous QBEES approach. We also present a working on-line prototype demo which implements the proposed approach.
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Notes
- 1.
In the current version of the system the white-space separator is disabled and is represented by the ‘_’ symbol. This is planned to be changed in future.
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Acknowledgements
We would like to thank Steffen Metzger, who provided the substantial part of the code of the back-end of the current state of the demo implementation. This work is partially supported by the Polish National Science Centre grant 2012/07/B/ST6/01239 and partially supported by the European Union under the European Social Fund Project PO KL “Information technologies: Research and their interdisciplinary applications”, Agreement UDA-POKL.04.01.01-00-051/10-00.
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Sobczak, G., Chochół, M., Schenkel, R., Sydow, M. (2015). iQbees: Towards Interactive Semantic Entity Search Based on Maximal Aspects. In: Esposito, F., Pivert, O., Hacid, MS., Rás, Z., Ferilli, S. (eds) Foundations of Intelligent Systems. ISMIS 2015. Lecture Notes in Computer Science(), vol 9384. Springer, Cham. https://doi.org/10.1007/978-3-319-25252-0_28
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DOI: https://doi.org/10.1007/978-3-319-25252-0_28
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