Abstract
In this paper, we focus on one of the most powerful computing methods for natural-language-driven representation of data, i.e. on Yager’s concept of a linguistic summary of a relational database (1982). In particular, we introduce an original extension of that concept: new forms of linguistic summaries. The new forms are named ”Multi-Subject” linguistic summaries, because they can handle more than one table or more than one set of records/objects collected in a database, e.g. More boys than girls play football well. Thanks to that, the generated linguistic summaries – quasi-natural language sentences – are more interesting and human-oriented. Finally, they new method is applied to a computer system that generates natural language description of numeric data, that makes them possible to be clearly presented to an end-user.
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Niewiadomski, A., Superson, I. (2014). On Multi-subjectivity in Linguistic Summarization of Relational Databases. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8467. Springer, Cham. https://doi.org/10.1007/978-3-319-07173-2_22
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DOI: https://doi.org/10.1007/978-3-319-07173-2_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07172-5
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