A Semi-automatic Ontology Learning Method for E- Learning Recourses Terminology Extraction
نویسنده
چکیده
In this paper, we propose semi-automatic ontology learning from heterogeneous recourses method, using non-representative domain texts. The proposed method is based on natural text syntactic, morphologic and semantic analysis and it uses heterogeneous recourses for extracting knowledge. It may be used for extracting ELearning textual recourse terminology and their representation as an ontology.
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