Abstract
We reproduce recent research results combining semantic and information retrieval methods. Additionally, we expand the existing state of the art by combining the semantic representations with IR methods from the probabilistic relevance framework. We demonstrate a significant increase in performance, as measured by standard evaluation metrics.
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This research is partially supported by the ADmIRE Project (FWF P25905-N23) project and the COST IC1302 KEYSTONE Action.
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Azzopardi, J., Benedetti, F., Guerra, F., Lupu, M. (2017). Back to the Sketch-Board: Integrating Keyword Search, Semantics, and Information Retrieval. In: Calì, A., Gorgan, D., Ugarte, M. (eds) Semantic Keyword-Based Search on Structured Data Sources. IKC 2016. Lecture Notes in Computer Science(), vol 10151. Springer, Cham. https://doi.org/10.1007/978-3-319-53640-8_5
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