Linguistic Summaries in Evaluating Elementary Conditions, Summarizing Data and Managing Nested Queries

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F20%3A10245914" target="_blank" >RIV/61989100:27510/20:10245914 - isvavai.cz</a>

Result on the web

<a href="https://informatica.vu.lt/journal/INFORMATICA/article/1196/info" target="_blank" >https://informatica.vu.lt/journal/INFORMATICA/article/1196/info</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15388/20-INFOR428" target="_blank" >10.15388/20-INFOR428</a>

Result language

angličtina

Original language name

Linguistic Summaries in Evaluating Elementary Conditions, Summarizing Data and Managing Nested Queries

Original language description

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 P1 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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Informatica

ISSN

0868-4952

e-ISSN

—

Volume of the periodical

31

Issue of the periodical within the volume

4

Country of publishing house

LT - LITHUANIA

Number of pages

16

Pages from-to

841-856

UT code for WoS article

000607563900009

EID of the result in the Scopus database

2-s2.0-85099556508