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Linguistic Summaries in Evaluating Elementary Conditions, Summarizing Data and Managing Nested Queries
Volume 31, Issue 4 (2020), pp. 841–856
Pavol Sojka   Miroslav Hudec   Miloš Švaňa  

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https://doi.org/10.15388/20-INFOR428
Pub. online: 30 September 2020      Type: Research Article      Open accessOpen Access

Received
1 January 2020
Accepted
1 August 2020
Published
30 September 2020

Abstract

Data users are generally interested in two types of aggregated information: summarization of the selected attribute(s) for all considered entities, and retrieval and evaluation of entities by the requirements posed on the relevant attributes. Less statistically literate users (e.g. domain experts) and the business intelligence strategic dashboards can benefit from the linguistic summarization, i.e. a summary like the most of customers are middle–aged can be understood immediately. Evaluation of the mandatory and optional requirements of the structure ${P_{1}}$ and most of the other posed predicates should be satisfied is beneficial for analytical business intelligence dashboards and search engines in general. This work formalizes the integration of aforementioned quantified summaries and quantified evaluation into the concept of database queries to empower their flexibility by, e.g. the nested quantified query conditions on hierarchical data structures. Next, this approach contributes to the mitigation of the empty answer problem in data retrieval tasks. Thus, the strategic and analytical dashboards as well as query engines might benefit from the proposed approach. Finally, the obtained results are illustrated on examples, the internal and external trustworthiness is elaborated, and the future research topics and applicability are discussed.

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Funding
This paper was supported by the SGS project No. SP2020/125 of the Ministry of Education, Youth and Sports of the Czech Republic. Also the support of the project VEGA No. 1/0373/18 by the Ministry of Education, Science, Research and Sport of the Slovak Republic is kindly announced.

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