DocumentCode :
597719
Title :
Ontology extraction for E-Learning — A fuzzy based approach
Author :
Kaladevi, A.C. ; Kangaiammal, A. ; Padmavathy, S. ; Theetchenya, S.
Author_Institution :
Dept. of Comput. Sci. & Eng., Sona Coll. of Technol., Salem, India
fYear :
2013
fDate :
4-6 Jan. 2013
Firstpage :
1
Lastpage :
6
Abstract :
An increasing number of ontology extraction based on domain knowledge are adopted in E-learning. It is critical that domain ontologies cannot sufficiently handle imprecise and vague knowledge, but fuzzy ontology can effectively resolve data with uncertainty. This paper proposes novel fuzzy domain ontology acquisition algorithm for E-Learning application. The knowledge construction mechanism constructs fuzzy concept and relation based on concepts. We have then proposed our design for extracting concepts from heterogeneous text documents.
Keywords :
computer aided instruction; fuzzy set theory; ontologies (artificial intelligence); semantic Web; text analysis; concept extraction design; domain knowledge; e-learning application; fuzzy concept construction; fuzzy domain ontology acquisition algorithm; heterogeneous text documents; knowledge construction mechanism; ontology extraction; semantic Web; Electronic learning; Knowledge based systems; Materials; Ontologies; Program processors; Taxonomy; Uncertainty; E-learning; Fuzzy domain ontology; Ontology; Semantic web; Text documents;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-2906-4
Type :
conf
DOI :
10.1109/ICCCI.2013.6466151
Filename :
6466151
Link To Document :
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