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Automatic generation of concept map from text

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dc.contributor.author Hamza, Benkhelil
dc.date.accessioned 2018-02-01T10:44:53Z
dc.date.available 2018-02-01T10:44:53Z
dc.date.issued 2017
dc.identifier.uri http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/2139
dc.description.abstract Concept maps are graphical tools for organizing and representing knowledge. Many educators and researchers have exploited CMs in a number of ways, including evaluation or assessment tools, knowledge management and cooperative meaningful learning tools in education. The construction of concept maps is typically done either manually or automatically. The term Concept Map Mining (CMM) is used to refer to the automatic generation of Concept Map from document. This thesis gives an overview of concept map Mining and their different approaches, then we introduce our method for automatic generation of concept map from a text. The proposed method uses an unsupervised algorithm and NLP tools. en_US
dc.language.iso en en_US
dc.publisher FACULTY: Mathematics and Computer Science - UNIVERSITY OF MOHAMED BOUDIAF - M’SILA en_US
dc.subject Concept maps, Concept Map Mining (CMM), unsupervised algorithm, NLP tools en_US
dc.title Automatic generation of concept map from text en_US
dc.type Thesis en_US

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