Miroslav Hudec|Erika Bednárová|Andreas Holzinger
Augmenting Statistical Data Dissemination by Short Quantified Sentences of Natural Language
University of Economics in Bratislava|University of Economics in Bratislava
abstract data national statistical institutes generally considered important source credible evidence variety users summarization dissemination via traditional methods convenient approach providing evidence however usually comprehensible users considerable level statistical literacy promising alternative lies augmenting summarization linguistically less statistically literate users eg domain experts general public well disabled people benefit summarization article studies potential summaries expressed short quantified sentences summaries including example visits remote countries short duration immediately understood diverse users linguistic summaries intended replace existing dissemination approaches augment providing alternatives benefit diverse users official statistics linguistic summarization achieved via mathematical formalization linguistic terms relative quantifiers fuzzy sets avoid summaries based outliers data low coverage quality criterion applied concept based linguistic summaries demonstrated test interfaces interpreting summaries real municipal statistical data article identifies number research opportunities demonstrates ways explore