Abstract
Scalability is an important problem for Question Answering (QA) systems over Knowledge Bases (KBs). Current KBs easily contain hundreds of millions of triples and all these triples can potentially contain the information requested by the user.
In this publication, we describe how the QA system WDAqua-core1 deals with the scalability issue. Moreover, we compare the scalability of WDAqua-core1 with existing approaches.
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Acknowledgments
Parts of this work received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant agreement No. 642795, project: Answering Questions using Web Data (WDAqua).
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Diefenbach, D., Singh, K., Maret, P. (2018). On the scalability of the QA System WDAqua-core1. In: Buscaldi, D., Gangemi, A., Reforgiato Recupero, D. (eds) Semantic Web Challenges. SemWebEval 2018. Communications in Computer and Information Science, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-00072-1_7
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