Detail publikace

Classification and Automatic Concept Map Creation in eLearning Environment

FURDÍK, K. PARALIČ, J. SMRŽ, P.

Originální název

Classification and Automatic Concept Map Creation in eLearning Environment

Anglický název

Classification and Automatic Concept Map Creation in eLearning Environment

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex


@inproceedings{BUT27602,
  author="Karol {Furdík} and Ján {Paralič} and Pavel {Smrž}",
  title="Classification and Automatic Concept Map Creation in eLearning Environment",
  annote="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.",
  address="Slovak University of Technology in Bratislava",
  booktitle="Znalosti 2008",
  chapter="27602",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Slovak University of Technology in Bratislava",
  year="2008",
  month="february",
  pages="78--89",
  publisher="Slovak University of Technology in Bratislava",
  type="conference paper"
}