Ontology-Based Conceptualisation of Text Mining Practice Areas for Education
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Ontology-Based Conceptualisation of Text Mining Practice Areas for Education
Original language description
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.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Collective Intelligence
ISBN
978-3-030-28373-5
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
533-542
Publisher name
Springer
Place of publication
Cham
Event location
Hendaye - France
Event date
Sep 4, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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