Classification and Automatic Concept Map Creation in eLearning Environment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F08%3APU76678" target="_blank" >RIV/00216305:26230/08:PU76678 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Classification and Automatic Concept Map Creation in eLearning Environment
Original language description
The paper presents an approach to the classification of textual documents in a collaborative eLearning environment, as it is being applied in the context of the Knowledge Practices Laboratory (KP-Lab) project and further elaborated within the PoZnaT project. Classification and consequent semi-automatic annotation of learning materials as well as automatic concept map creation by means of text mining techniques and NLP methods enable users to organise and share the knowledge in a distributed learning system. Design principles and required functionality of the text mining services are discussed in the paper. The Mining Engine Console is presented as a tool for maintenance and administration of the classification and concept map creation processes. Finally, some initial examples of the classification on a real data and evaluation of the classification tool are described in this paper.
Czech name
Classification and Automatic Concept Map Creation in eLearning Environment
Czech description
Příspěvek se zabývá webovými službami zaměřenými na klasifikaci textů a automatické vytváření pojmových map v kontextu technologické podpory výuky.<br>
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Znalosti 2008
ISBN
978-80-227-2827-0
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
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Publisher name
Slovak University of Technology in Bratislava
Place of publication
Bratislava
Event location
Bratislava
Event date
Feb 13, 2008
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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