Detail publikačního výsledku

Text Mining Services for Trialogical Learning

SMRŽ, P.; PARALIČ, J.; SMATANA, P.; FURDÍK, K.

Originální název

Text Mining Services for Trialogical Learning

Anglický název

Text Mining Services for Trialogical Learning

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

The paperdescribes the architecture of Text Mining services for the Knowledge PracticesLaboratory (KP-Lab). The Trialogical Learningand Activity Theory, as a new paradigm of e-Learning, stands behind the KP-Labsystem. This approach requires active goal-oriented participation of learners,sharing of learning materials (knowledge artefacts), distributed and highlycustomizable learning environment, and knowledge-based exchange of information(practices, artefacts) among learners. The Semantic Web Knowledge Middlewarewas designed as a service layer for storage, maintenance, and interfacing ofsemantically annotated knowledge artefacts. Since artefacts and their annotationscontain descriptions in natural language, the Text Mining services were devisedto provide an intelligent access and manipulation with repository of artefacts.Design principles and implementation of supervised and non-supervised textmining methods for the extraction of conceptual maps and classification ofknowledge artefacts are discussed in this paper.

Anglický abstrakt

The paperdescribes the architecture of Text Mining services for the Knowledge PracticesLaboratory (KP-Lab). The Trialogical Learningand Activity Theory, as a new paradigm of e-Learning, stands behind the KP-Labsystem. This approach requires active goal-oriented participation of learners,sharing of learning materials (knowledge artefacts), distributed and highlycustomizable learning environment, and knowledge-based exchange of information(practices, artefacts) among learners. The Semantic Web Knowledge Middlewarewas designed as a service layer for storage, maintenance, and interfacing ofsemantically annotated knowledge artefacts. Since artefacts and their annotationscontain descriptions in natural language, the Text Mining services were devisedto provide an intelligent access and manipulation with repository of artefacts.Design principles and implementation of supervised and non-supervised textmining methods for the extraction of conceptual maps and classification ofknowledge artefacts are discussed in this paper.

Klíčová slova

technology enhanced learning, web services

Klíčová slova v angličtině

technology enhanced learning, web services

Autoři

SMRŽ, P.; PARALIČ, J.; SMATANA, P.; FURDÍK, K.

Vydáno

05.02.2007

Nakladatel

VŠB-Technical University of Ostrava

Místo

Ostrava

ISBN

978-80-248-1279-3

Kniha

Proceedings of the 6th Annual Conference Znalosti

Strany od

97

Strany do

108

Strany počet

12

BibTex

@inproceedings{BUT26064,
  author="Pavel {Smrž} and Ján {Paralič} and Peter {Smatana} and Karol {Furdík}",
  title="Text Mining Services for Trialogical Learning",
  booktitle="Proceedings of the 6th Annual Conference Znalosti",
  year="2007",
  pages="97--108",
  publisher="VŠB-Technical University of Ostrava",
  address="Ostrava",
  isbn="978-80-248-1279-3"
}