Improvement of Searching for Appropriate Textual Information Sources Using Association Rules and FCA

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F21%3AA0000914" target="_blank" >RIV/47813059:19240/21:A0000914 - isvavai.cz</a>

Result on the web

<a href="https://ebooks.iospress.nl/doi/10.3233/FAIA210487" target="_blank" >https://ebooks.iospress.nl/doi/10.3233/FAIA210487</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/FAIA210487" target="_blank" >10.3233/FAIA210487</a>

Result language

angličtina

Original language name

Improvement of Searching for Appropriate Textual Information Sources Using Association Rules and FCA

Original language description

This paper deals with an optimization of methods for recommending relevant text sources. We summarize methods that are based on a theory of Association Rules and Formal Conceptual Analysis which are computationally demanding. Therefore we are applying the ‘Iceberg Concepts', which significantly prune output data space and thus accelerate the whole process of the calculation. Association Rules and the Relevant Ordering, which is an FCA-based method, are applied on data obtained from explications of an atomic concept. Explications are procured from natural language sentences formalized into TIL constructions and processed by a machine learning algorithm. TIL constructions are utilized only as a specification language and they are described in numerous publications, so we do not deal with TIL in this paper.

Czech name

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Czech description

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Type

D - Article in proceedings

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

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

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

Article name in the collection

Frontiers in Artificial Intelligence and Applications

ISBN

9781643682426

ISSN

0922-6389

e-ISSN

1879-8314

Number of pages

11

Pages from-to

204-214

Publisher name

IOS Press BV

Place of publication

Amsterdam

Event location

Hamburg (Germany)

Event date

Sep 7, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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