Ontology-Based Conceptualisation of Text Mining Practice Areas for Education

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015913" target="_blank" >RIV/62690094:18450/19:50015913 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-030-28374-2_46" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-28374-2_46</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-28374-2_46" target="_blank" >10.1007/978-3-030-28374-2_46</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Ontology-Based Conceptualisation of Text Mining Practice Areas for Education

Popis výsledku v původním jazyce

Text mining is highly multi-disciplinary field including various techniques of text analysis. These techniques are used for uncovering hidden information and knowledge in semi-structured and non-structured texts. Text mining concepts are spread among different, but related practice areas. It is often difficult to receive fast insight into this amount of concepts for a non-professional, e.g. for a student. The paper presents the OWL ontology-based prototype which should ease education and learning of facts which are used in the text mining domain. It is mainly aimed to the university students studying text mining at the introductory level. It can also be used as a formal vocabulary of text mining concepts for understanding of methods, techniques, concepts and relations between them by machines.

Název v anglickém jazyce

Ontology-Based Conceptualisation of Text Mining Practice Areas for Education

Popis výsledku anglicky

Text mining is highly multi-disciplinary field including various techniques of text analysis. These techniques are used for uncovering hidden information and knowledge in semi-structured and non-structured texts. Text mining concepts are spread among different, but related practice areas. It is often difficult to receive fast insight into this amount of concepts for a non-professional, e.g. for a student. The paper presents the OWL ontology-based prototype which should ease education and learning of facts which are used in the text mining domain. It is mainly aimed to the university students studying text mining at the introductory level. It can also be used as a formal vocabulary of text mining concepts for understanding of methods, techniques, concepts and relations between them by machines.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Computational Collective Intelligence

ISBN

978-3-030-28373-5

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

10

Strana od-do

533-542

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Hendaye - France

Datum konání akce

4. 9. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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